Self-Tracking for Health and the Quantified Self: Re-Articulating Autonomy, Solidarity, and Authenticity in an Age of Personalized Healthcare
Open accessAbstract
Self-tracking devices point to a future in which individuals will be more involved in the management of their health and will generate data that will benefit clinical decision making and research. They have thus attracted enthusiasm from medical and public health professionals as key players in the move toward participatory and personalized healthcare. Critics, however, have begun to articulate a number of broader societal and ethical concerns regarding self-tracking, foregrounding their disciplining, and disempowering effects. This paper has two aims: first, to analyze some of the key promises and concerns that inform this polarized debate. I argue that far from being solely about health outcomes, this debate is very much about fundamental values that are at stake in the move toward personalized healthcare, namely, the values of autonomy, solidarity, and authenticity. The second aim is to provide a framework within which an alternative approach to self-tracking for health can be developed. I suggest that a practice-based approach, which studies how values are enacted in specific practices, can open the way for a new set of theoretical questions. In the last part of the paper, I sketch out how this can work by describing various enactments of autonomy, solidarity, and authenticity among self-trackers in the Quantified Self community. These examples show that shifting attention to practices can render visible alternative and sometimes unexpected enactments of values. Insofar as these may challenge both the promises and concerns in the debate on self-tracking for health, they can lay the groundwork for new conceptual interventions in future research.
AI snapshot
Written from the paper’s full text.
TL;DR
The paper analyzes the polarized debate over self-tracking for health and personalized healthcare, arguing that it is fundamentally about the values of autonomy, solidarity, and authenticity. It proposes a practice-based approach and uses examples from the Quantified Self community to show alternative, sometimes unexpected, enactments of those values.
Key findings
- The debate is structured by three polarizations: empowerment vs. surveillance and discipline; improved overall health vs. the disintegration of state and collective responsibility for health; and greater self-knowledge vs. reductionism and the non-impartiality of numbers.
- Both advocates and critics appeal to the same values—autonomy, solidarity, and authenticity—so reframing the debate around values clarifies the stakes and ties it to broader socio-political transformations.
- A practice-based approach shows Quantified Self self-trackers enact autonomy through n = 1 self-experiments, custom categories, and resistance to being tracked by others; solidarity through sharing data, communal/confessional meetings, and group studies or public data contributions; and authenticity through data as a supplement to storytelling and a “qualified self,” rather than pure data fetishism.
- The paper reports contextual numbers: a 2013 Pew study found 1 in 5 Americans use technology to track their health; almost 2 billion people worldwide were estimated to use digital devices to track health by 2017; some 97,000 mobile health apps existed; 485 million wearable devices were expected to be released annually by 2018; and the Quantified Self community had over 60,000 members in over 200 groups with two international conferences a year.
Methods
- Design: conceptual and philosophical analysis of the promises and concerns surrounding self-tracking for health and personalized healthcare, followed by a proposed practice-based framework.
- Data or sample: observations and interviews carried out within the Quantified Self community at various meetings and international conferences between 2013 and 2015, including QSEU14 and QSEU15.
- Main analysis: identifies three key polarizations, reframes them in terms of autonomy, solidarity, and authenticity, and uses ethnographic examples to describe how those values are enacted in specific self-tracking practices.
Limitations
- The paper states that the debate remains highly speculative, tends to configure users unrealistically—either as rational consumers making autonomous health choices or as victims oblivious to insidious forces—and is detached from the everyday experiences of people actually using self-tracking devices.
- The paper states that its examples are drawn from the Quantified Self, a very specific group of “early adopters,” which limits broader conclusions; it calls for other empirical sites such as chronic patients, people who stop using self-tracking devices, non-users, and older people.
- Evident from the text: the empirical basis is illustrative rather than systematically described; no sample size, recruitment strategy, or coding/analysis procedure for the observations and interviews is reported, and the paper does not resolve which enactments of values should be normatively preferred, leaving that to future research.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 44 cited sources checked · 0 supported · 0 flagged
- Findingreasoning
For members of the Quantified Self, and arguably for many self-trackers beyond it, a crucial aspect of self-tracking is the opportunity to share data with others and participate in self-tracking communities.
“Yet, for members of QS, and arguably for many selftrackers beyond QS, a crucial aspect of self-tracking is the opportunity to share their data with others and to participate in self-tracking communities of various sorts.”
Quote in the paperSubstantial claim- Rests on an assumption: The Quantified Self community and its meetings, presentations, and members' self-reports provide a valid and sufficiently representative basis for drawing conclusions about self-tracking for health practices in the move toward personalized healthcare.
- Findingnone given
Self-tracking experiments typically focus on disturbing, painful, or embarrassing aspects of individuals' lives.
“Indeed, selftracking experiments typically focus on aspects of individuals' lives that are disturbing, painful, or embarrassing: struggles with weight loss, mental health and disease, bad habits, or undesirable character traits-sensitive issues that are not easily revealed in most contexts and that are given a voice via the abstract language of numbers.”
Quote in the paperSubstantial claim- Rests on an assumption: The Quantified Self community and its meetings, presentations, and members' self-reports provide a valid and sufficiently representative basis for drawing conclusions about self-tracking for health practices in the move toward personalized healthcare.
- Findingreasoning
Self-tracking data is often referred to by QSers as a supplement, an additional layer of information that enhances broader understandings and self-narratives.
“Often, self-tracking data is referred to as a supplement, an additional layer of information that enhances or contributes to broader understandings and self-narratives.”
Quote in the paperSubstantial claim - Findingown data
In physical activity tracking, QSers engage in cross-checking and re-calibration between their intuitions and data, attempting to align both rather than having blind faith in data over intuition.
“As one participant at QSEU14 explained concerning physical activity tracking, quite some Bcross-checking^and Bre-calibration^goes on between one's intuitions and what the data shows, and rather than a blind faith in the latter over and above the former, an attempt to align both ensues.”
Quote in the paperSubstantial claim - Findingcitation
A spirit of autonomy runs through many origin stories of the Quantified Self community, where tracking takes on explicit forms of challenging scientific and medical authority.
“A Bspirit of autonomy,^as Wolf calls it, also runs through many of the origin stories of the QS community as they are told and re-told at QS meetings, where tracking often takes on more explicit forms of challenging scientific and medical authority.”
Quote in the paperSubstantial claim- Rests on an assumption: The Quantified Self community and its meetings, presentations, and members' self-reports provide a valid and sufficiently representative basis for drawing conclusions about self-tracking for health practices in the move toward personalized healthcare.
- Findingreasoning
For many QSers, self-tracking data does not straightforwardly produce a definitive truth or a one-to-one representation of their health, life, or identity.
“For many QSers, the data generated by self-tracking does not straightforwardly produce a definitive truth, a one-to-one representation of their health, life, or identity.”
Quote in the paperSubstantial claim - Findingreasoning
A Quantified Selfer's grief-tracking project created a reflective space to come to terms with loss on her own terms, unhindered by social conventions governing grief.
“It was also the creation of a reflective space in which the user could come to terms with loss on her own terms, unhindered by the social conventions that govern the grieving process, such as expectations of how long it should take and how much one should be immersed in it.”
Quote in the paperSubstantial claim- Rests on an assumption: The Quantified Self community and its meetings, presentations, and members' self-reports provide a valid and sufficiently representative basis for drawing conclusions about self-tracking for health practices in the move toward personalized healthcare.
- Findingreasoning
Autonomy in Quantified Self practices is enacted by hacking and dismantling tracking devices or, more commonly, by defining and constituting one's own tracking parameters and analytical categories.
“Autonomy, here, is enacted by either hacking and dismantling tracking devices, something that a number of the tech-savvy members of QS enjoy doing or, more commonly, by defining and constituting their own tracking parameters and analytical categories.”
Quote in the paperSubstantial claim- Rests on an assumption: The Quantified Self community and its meetings, presentations, and members' self-reports provide a valid and sufficiently representative basis for drawing conclusions about self-tracking for health practices in the move toward personalized healthcare.
- Findingreasoning
For many Quantified Selfers, sharing tracking experiences becomes a means of reaching out to others who endure similar hardships, and of offering knowledge, support, and solace.
“For many QSers, then, sharing tracking experiences becomes a means of reaching out to others who endure similar hardships, and of offering knowledge, support, and solace, while getting some in return.”
Quote in the paperSubstantial claim- Rests on an assumption: The Quantified Self community and its meetings, presentations, and members' self-reports provide a valid and sufficiently representative basis for drawing conclusions about self-tracking for health practices in the move toward personalized healthcare.
- Findingreasoning
The knowledge that Quantified Selfers gain from their n=1 experiments is highly particularistic and idiosyncratic.
“The knowledge that QSers gain from their n = 1 experiments is highly particularistic and idiosyncratic, as they ask Bwhat is the most favorable bedtime for me,^Bwhat is the diet regime that works best for me,^and Bwhat activities, nutriments, and environment correlate optimally in light of the conditions of my life?^”
Quote in the paperSubstantial claim- Rests on an assumption: The Quantified Self community and its meetings, presentations, and members' self-reports provide a valid and sufficiently representative basis for drawing conclusions about self-tracking for health practices in the move toward personalized healthcare.
- Findingnone given
The opportunity for Quantified Selfers to meet and discuss their experiences is a fundamental aspect of the Quantified Self movement.
“The opportunity for QSers to meet and discuss their experiences is a fundamental aspect of the QS movement.”
Quote in the paperSubstantial claim- Rests on an assumption: The Quantified Self community and its meetings, presentations, and members' self-reports provide a valid and sufficiently representative basis for drawing conclusions about self-tracking for health practices in the move toward personalized healthcare.
- Findingreasoning
Self-tracking for members of the Quantified Self is often a form of self-experimentation driven by the desire to discover something particular to themselves as unique individuals, i.e., n=1 experiments.
“self-tracking for members of the QS is often a form of selfexperimentation that is driven by the desire to discover something particular to themselves, as unique individuals; these are Bn = 1^experiments.”
Quote in the paperSubstantial claim- Rests on an assumption: The Quantified Self community and its meetings, presentations, and members' self-reports provide a valid and sufficiently representative basis for drawing conclusions about self-tracking for health practices in the move toward personalized healthcare.
- Interpretationreasoning
Concerns about surveillance, discipline, and compulsory self-tracking greatly problematize the promise of empowerment put forward by advocates of self-tracking.
“Along with the disciplinary effects of self-tracking and the idea that some types of self-tracking may become compulsory, these concerns greatly problematize the promise of empowerment put forward by advocates of self-tracking.”
Quote in the paperSubstantial claim - Premisecitation
PHC and self-tracking for health echo the discourse of individual responsibility that has become pervasive in government policy on healthcare in the United States and Europe in recent decades.
“PHC and self-tracking for health echo the discourse of individual responsibility that has become pervasive in government policy on healthcare in the United States and in Europe in recent decades.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites ter Meulen and Jotterand 2008 source
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- Premisenone given
One of the important novelties of PHC is the centrality of data, including non-traditional sources of biomedical data like lifestyle and environmental data generated outside the healthcare system.
“One of the important novelties of PHC, as indicated above, is the centrality of data, not just genomic and other 'omics data, but also non-traditional sources of biomedical data like lifestyle and environmental data that are generated outside of the healthcare system.”
Quote in the paperSubstantial claim - Premisecitation
PHC is a data-rich endeavor whose ambitions to target, tailor, and personalize care rely on the integration of vast amounts of heterogeneous biological, environmental, and lifestyle data.
“PHC is a data-rich endeavor.The integration of vast amounts of heterogeneous biological, environmental, and lifestyle data lies at the core of its ambitions to target, tailor, and personalize care to each individual's unique biological makeup and health experience”
Quote in the paperSubstantial claim0 of 2 sources checked- cites NAS 2011
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- cites Cesuroglo et al. 2012 source
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- Premisecitation
PHC, as a data-driven approach, requires the active participation of citizens as generators and contributors of data.
“because PHC-as a data-driven approach-requires the active participation of citizens as generators and contributors of data (ESF 2012).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites ESF 2012
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- Premisecitation
The development and implementation of PHC require vast amounts of individualized health, environmental, and lifestyle data.
“As mentioned, the development and implementation of PHC require vast amounts of individualized health, environmental, and lifestyle data.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites ESF 2012
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- Premisecitation
In 2013, 1 in 5 Americans used some form of technology to track their health.
“A Pew Internet study conducted in 2013 found that 1 in 5 Americans use some form of technology to track their health (Fox and Duggan 2013)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Fox and Duggan 2013
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- Premisecitation
The advent of inexpensive digital self-tracking tools has led to a dizzying rise in the phenomenon of self-tracking for health.
“But the advent of inexpensive digital self-tracking tools, which have made the collection and analysis of data easier, more precise and, arguably, more fun, has led to a dizzying rise in the phenomenon of self-tracking for health.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Fox and Duggan 2013
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- cites Research2Guidance 2013
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- cites ABI 2013
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- Interpretationown data
Shifting attention to practices can render visible alternative and sometimes unexpected enactments of values among self-trackers in the Quantified Self community.
“These examples show that shifting attention to practices can render visible alternative and sometimes unexpected enactments of values.”
Quote in the paperSubstantial claim - Interpretationcitation
Critics of personalized healthcare and self-tracking also appeal to the value of autonomy.
“These critics are also appealing to the value of autonomy (Sharon 2015).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Sharon 2015
Not checked in the free run.
- Premisereasoning
Self-tracking devices, wearable sensors, and mobile applications bring together the data-centeredness and participatory form of PHC.
“These two essential aspects of PHC, its data-centeredness and its participatory form, are brought together in self-tracking devices, wearable sensors, and mobile applications that allow users to collect, measure, and display data concerning virtually any form of bodily function and behavioral activity.”
Quote in the paperSubstantial claim - Interpretationcitation
The growing use of self-tracking devices means that a significant amount of data can potentially be generated beyond the clinic by patients and citizens themselves, reconfiguring them as knowledge producers.
“The growing use of self-tracking devices means that, potentially, a significant amount of that data can be generated Bbeyond the clinic^ (Prainsack and Vayena 2013) by patients and citizens themselves, thus reconfiguring them as knowledge producers, not just knowledge recipients (ESF 2012).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Prainsack and Vayena 2013 source
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- cites ESF 2012
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- Interpretationreasoning
The critique of sharing practices should not obscure the strong communal character that self-tracking takes on in various contexts and emerging spaces.
“But this critique should not obscure the strong communal character that self-tracking takes on in various contexts and emerging spaces, both online and offline, in which enactments of solidarity may be materializing.”
Quote in the paperNot a substantial claim - Interpretationcitation
Such self-tracking practices can be characterized as a form of soft resistance to dominant modes of living with data, informed by a strong sense of autonomy.
“Such selftracking practices, as Nafus and Sherman (2014) observe in their ethnography of the QS movement, can be characterized as a form of Bsoft resistance^to dominant modes of living with data, a resistance that is not necessarily explicitly oppositional, but that is informed by a strong sense of autonomy.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Nafus and Sherman 2014
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- Interpretationreasoning
This communicative and communal dimension of tracking challenges allegations of narcissism and navel-gazing.
“This communicative and communal dimension of tracking challenges allegations of narcissism and navel-gazing.”
Quote in the paperSubstantial claim - Interpretationreasoning
It is difficult to say that the self-tracking practices discussed here straightforwardly convey a commitment to carry costs.
“It is difficult to say that the self-tracking practices discussed here straightforwardly convey a Bcommitment to carry costs,^other than perhaps the immediate emotional and time-consuming cost involved in standing in front of a group and disclosing one's findings.”
Quote in the paperNot a substantial claim - Premisenone given
Digital self-tracking tools usually have built-in functions that enable and encourage users to share and compare their findings with others.
“digital self-tracking tools usually have built-in functions that enable and encourage users to share and compare their findings with others, via social media and specially created platforms.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The vulnerabilities addressed by self-trackers are unspecific ones, potentially shared by all practitioners by virtue of their being human.
“Furthermore, the vulnerabilities addressed by self-trackers are also unspecific ones, potentially shared by all practitioners by virtue of their being human, in which case, self-tracking may promote an increased disposition to solidaristic relations that are more broadly inclusive and perhaps even universal.”
Quote in the paperNot a substantial claim - Interpretationcitation
This narrow solidarity does not align with the contractual solidarity that has commonly acted as the foundation for social arrangements in contemporary European societies.
“Certainly, this does not align with the Bcontractual solidarity^ (Houtepen and ter Meulen 2000) that has commonly acted as the foundation for social arrangements in contemporary European societies.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Houtepen and ter Meulen 2000 source
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- Interpretationreasoning
Self-tracking may point to an open-ended aesthetic understanding of the self, where identity is constructed and curated from quantitative and qualitative pieces, rather than a numerical and constraining understanding.
“Rather than a numerical and constraining understanding of the self, as critics decry, this may point to an open-ended aesthetic one, where identity is constructed and curated, the product of quantitative and qualitative piecings together”
Quote in the paperSubstantial claim - Interpretationreasoning
The limitations discussed indicate that the debate on self-tracking for health is to an important extent detached from the actual, everyday experiences of users of self-tracking devices.
“The limitations discussed here-insufficient empirical basis, unrealistic configuration of users and implicit values and normative assumptions-indicate that the debate on self-tracking for health is to an important extent detached from the actual, everyday experiences of users of self-tracking devices.”
Quote in the paperSubstantial claim - Interpretationreasoning
Far from demonstrating an uncritical relationship to data collection, posing critical questions and exploring best practices around data management, protection, and privacy are a main preoccupation of the Quantified Self community.
“Thus, far from demonstrating an uncritical relationship to data collection or an obliviousness of its uses for and by others, as critics of QS often suggest, posing critical questions and exploring best practices around these issues are a main preoccupation of the community.”
Quote in the paperSubstantial claim- Rests on an assumption: The Quantified Self community and its meetings, presentations, and members' self-reports provide a valid and sufficiently representative basis for drawing conclusions about self-tracking for health practices in the move toward personalized healthcare.
- Interpretationreasoning
In the second polarization, both critics and advocates appeal to the value of solidarity.
“Similarly, in the second polarization, both critics and advocates appeal to the value of solidarity.”
Quote in the paperNot a substantial claim - Interpretationreasoning
A practice-based approach helps explain why defining a value unambiguously for all cases often runs into difficulties.
“Such an approach goes some way in explaining why the attempt to define a value unambiguously for all cases in which it is at stake often runs into difficulties, just as it can help explain how two opposing sides of a debate can persuasively appeal to one and the same value, be it autonomy, solidarity, or authenticity.”
Quote in the paperSubstantial claim - Interpretationcitation
These practices can effectively render similarities between people more visible, which may be conducive for solidarity.
“However, these practices can effectively render similarities between people more visible-which may be conducive for solidarity (Walhof 2006;Prainsack 2014).”
Quote in the paperSubstantial claim0 of 2 sources checked - Interpretationreasoning
Advocates of self-tracking also appeal to the value of solidarity.
“Advocates of self-tracking, on the other hand, also appeal to the value of solidarity.”
Quote in the paperSubstantial claim - Interpretationcitation
The data generated by tracking devices is not just a tool for gaining insights about oneself but becomes a medium for connecting with others by offering a raw glimpse into one's intimate, private life.
“This is to say that the data that is generated by tracking devices is not just a tool for gaining insights about oneself but becomes a medium for connecting with others by offering a raw glimpse into one's intimate, private life (Sharon and Zandbergen 2016).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Sharon and Zandbergen 2016
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- Interpretationreasoning
Rather than a group of data-obsessed narcissists, many Quantified Selfers seem to be seeking to enter into dialogue with others with whom they share commonalities, namely vulnerabilities.
“In this sense, rather than a group of dataobsessed narcissists, many QSers seem to be seeking to enter into dialogue with others with whom they share commonalities, namely vulnerabilities: to tragic events, to disease, and to undesirable habits.”
Quote in the paperSubstantial claim- Rests on an assumption: The Quantified Self community and its meetings, presentations, and members' self-reports provide a valid and sufficiently representative basis for drawing conclusions about self-tracking for health practices in the move toward personalized healthcare.
- Interpretationreasoning
Self-tracking may promote an increased disposition to solidaristic relations that are more broadly inclusive and perhaps even universal.
“in which case, self-tracking may promote an increased disposition to solidaristic relations that are more broadly inclusive and perhaps even universal.”
Quote in the paperSubstantial claim - Interpretationreasoning
The n=me may effectively be transformed in such practices into an n=we.
“The Bn = me^may effectively be transformed in such practices into an Bn = we.^”
Quote in the paperNot a substantial claim - Interpretationreasoning
Quantified Selfers' tinkering with hardware and software and refusal of proprietary platforms enact a form of autonomy that constitutes them as active users rather than passive consumers.
“QSers' continuous tinkering with the hardware and software of their tracking tools and the refusal of some to use proprietary software and data platforms that are owned by private companies enact a form of autonomy that constitutes them as active users, rather than passive consumers of technology.”
Quote in the paperSubstantial claim - Interpretationreasoning
This kind of empowerment in the wild differs significantly from the controlled or guided empowerment promoted by public health agencies and medical professionals.
“This kind of empowerment Bin the wild^differs significantly from the controlled or guided type of empowerment that public health agencies and medical professionals have in mind when promoting digital health, and it imbues the practices of self-quantifiers with a very strong sense of agency and autonomy.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Some tracking practices can be said to more clearly reflect a commitment to carry costs insofar as tracking is undertaken in ways and based on methods that intentionally seek to make the data valuable for others.
“Finally, some tracking practices that community members partake in can be said to more clearly reflect a commitment to carry costs insofar as tracking is undertaken in ways and based on methods that intentionally seek to make the data that they generate valuable for others, often non-specific others.”
Quote in the paperSubstantial claim - Study design and conductreasoning
The Quantified Self is a limited site from which to draw broader conclusions.
“But it is also what makes the Quantified Self a limited site from which to draw any broader conclusions.”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 71
- May combine two claims. 22
Probably not a substantial claim: may not pass S4 (based).
Findingnone givenFor Quantified Selfers, the idea that what is good, right, or healthy for one person differs for every individual is a fundamental axiom.
“Here, the idea that what is Bgood,^Bright,^or Bhealthy^for one person differs for every individual is a fundamental axiom.”
Quote in the paperNot a substantial claim- Rests on an assumption: The Quantified Self community and its meetings, presentations, and members' self-reports provide a valid and sufficiently representative basis for drawing conclusions about self-tracking for health practices in the move toward personalized healthcare.
Classified as probably not a substantial claim.
Findingnone givenThese practitioners believe that their personal data is a new natural resource that should be part of a commons.
“nor these practitioners' belief that their personal data is indeed a new natural resource that should be part of a commons.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Findingnone givenA number of QS community members frequently engage in group studies pooling individual self-experiments, organized by platforms like Genomera or Doubleblinded, or make their tracking data publicly available for researchers, for example on Open Humans.
“a number of members throughout the community frequently engage in group studies that pool together individual self-experiments, organized by platforms like BGenomera^or BDoubleblinded,^or actively make their tracking data publicly available for researchers to use, for example, on the BOpen Humans^network.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn Quantified Self gatherings, data takes on the form of a common language that everyone can relate to, enabling sharing of experiences.
“In these gatherings, the show-and-tell format described above is the framework through which participants share their experiences, while data takes on the form of a Bcommon language^that Beveryone can relate to,^as per one participant at QSEU14, that makes this possible.”
Quote in the paperSubstantial claim- Rests on an assumption: The Quantified Self community and its meetings, presentations, and members' self-reports provide a valid and sufficiently representative basis for drawing conclusions about self-tracking for health practices in the move toward personalized healthcare.
May combine two claims.
FindingreasoningSelf-disclosure and self-confrontation are commonplace in Quantified Self gatherings and infuse these meetings with a confessional quality.
“Self-disclosure and self-confrontation are commonplace in QS gatherings and infuse these meetings with a confessional quality.”
Quote in the paperSubstantial claim- Rests on an assumption: The Quantified Self community and its meetings, presentations, and members' self-reports provide a valid and sufficiently representative basis for drawing conclusions about self-tracking for health practices in the move toward personalized healthcare.
Probably not a substantial claim: may not pass S3 (load-bearing).
FindingreasoningStorytelling is a recurrent theme at QS meetings.
“The theme of storytelling is a recurrent one at QS meetings.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Findingnone givenClaims to contributing to the public good are systematically and often loosely attached to these self-tracking practices.
“There is no question that claims to Bcontributing to the public good^that are systematically and often loosely attached to these self-tracking practices need to be critically scrutinized.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataAt QSEU14, a participant explained that quantified data are used as signals in digital storytelling, mingled in with one's story.
“At QSEU14, one participant explained that quantified data are like Bsignals^that are used in a form of Bdigital storytelling,^Bmingled in^with one's story.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingcitationQS leaders have begun to position themselves as supporters of catalyzing the use of personal data for the public good and as mediators between stakeholders in public health research using personal health data.
“The leaders of QS have also begun to actively position themselves as supporters of the trend toward Bcatalyzing the use of personal data for the public good^ (HDE 2016) and as mediators between stakeholders in the emerging landscape of public health research using personal health data.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites HDE 2016
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Probably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenThe Quantified Self community is characterized by local meetings where members share first-hand experiences using self-tracking methods and tools in short show-and-tell presentations.
“The Quantified Self (QS) community is characterized by local meetings where members get together to share their first-hand experiences using self-tracking methods and tools in short show-and-tell presentations.”
Quote in the paperNot a substantial claim- Rests on an assumption: The Quantified Self community and its meetings, presentations, and members' self-reports provide a valid and sufficiently representative basis for drawing conclusions about self-tracking for health practices in the move toward personalized healthcare.
Probably not a substantial claim: may not pass S3 (load-bearing).
FindingreasoningThe QS movement's motto and statements by leading QS members often suggest an excessive belief in the objectivity and truthfulness of numbers.
“The movement's motto, Bself-knowledge through numbers,^and statements made by leading QS members in talks and articles do often smack of an excessive belief in the objectivity and truthfulness of numbers.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenIn 2014, QS Labs helped coordinate a symposium at the Qualcomm Institute at UC San Diego that brought together researchers, public health officials, self-trackers, and business and technology representatives on voluntary and participatory public health research.
“In 2014, QS Labs helped coordinate a symposium at the Qualcomm Institute at the University of California, San Diego, that brought together researchers, public health officials, self-trackers, and business and technology representatives on the topic of voluntary and participatory public health research.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenThe QS Public Health Symposium has become an annual event that concurs with the research meetings of the Health Data Exploration Network.
“The BQS Public Health Symposium^has become an annual event that concurs with the research meetings of the Health Data Exploration Network.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
FindingreasoningIt is not clear from listening to QSers that, as Horning argues, the true self emerges through information processing by algorithmic systems that report back the true nature of who we are.
“However, it is not clear from listening to QSers that, as Honing argues, Bthe true self, from this point of view […] emerges through information processing […] algorithmic systems that report back to us the true nature of who we are.^”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Horning 2013
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Probably not a substantial claim: may not pass S4 (based).
Findingnone givenThese self-tracking practices have a solidaristic nature for practitioners.
“But the fact that they need to be asked does not suspend the solidaristic nature of these practices for practitioners”
Quote in the paperNot a substantial claimMay combine two claims.
FindingcitationIn self-experiments, Quantified Selfers are constituted as subjects who do not fit categories, for whom state-sponsored health messages and industry-determined variables are often ill-fitting or not fine-grained enough.
“In these self-experiments, QSers are constituted as subjects who do not fit categories (Nafus and Sherman 2014), for whom state-sponsored messages of health and industrydetermined variables and functions are often seen as ill-fitting or not fine-grained enough.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Nafus and Sherman 2014
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- Rests on an assumption: The Quantified Self community and its meetings, presentations, and members' self-reports provide a valid and sufficiently representative basis for drawing conclusions about self-tracking for health practices in the move toward personalized healthcare.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingnone givenAn important discussion in the QS community in recent years has been how self-tracking data can contribute to public health and how to make self-experimentation a more valid and accepted form of scientific knowledge production.
“One of the important discussions that has animated the QS community in the past years, moreover, has been the question of how self-tracking data can contribute to public health and, more specifically, the question of how to make self-experimentation a more valid and accepted form of scientific knowledge production.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
FindingreasoningAn important distinction can be made between tracking yourself and being tracked by others.
“an important distinction can be made between Btracking yourself^and Bbeing tracked by others,^between a Bdoctor putting you on a scale^and doing so yourself.”
Quote in the paperSubstantial claim- Rests on an assumption: The Quantified Self community and its meetings, presentations, and members' self-reports provide a valid and sufficiently representative basis for drawing conclusions about self-tracking for health practices in the move toward personalized healthcare.
Probably not a substantial claim: may not pass S3 (load-bearing).
FindingreasoningSome QSers have begun speaking about a 'qualified self' as a more accurate expression of the entanglements and negotiations between metrics and interpretive schemes that characterize the quest for self-knowledge.
“This has led some QSers to begin speaking about a Bqualified self^ (Davis 2013) as a more accurate expression of the entanglements and negotiations between metrics and interpretive schemes that characterize the quest for self-knowledge.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Davis 2013
Not checked in the free run.
May combine two claims.
FindingreasoningFor many QSers, the self reported back by tracking devices' algorithmic systems is taken to be truthful to some extent, but there is also an understanding that without context, data can only tell a partial story.
“Rather, for many QSers, while the self that is Breported back^from the algorithmic systems of tracking devices is taken be truthful to some extent, there is also an understanding that without context, data can only tell a partial story.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Findingnone givenMany of the concerns raised by critics about privacy and about who gets to interpret data and to what ends are being discussed within the QS community.
“This is part of what makes the Quantified Self such a fascinating site, particularly since many of the concerns raised by critics, about privacy, about who gets to interpret data and to what ends, are being discussed within the community.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
FindingreasoningFor some trackers, numbers are not at all what self-tracking is really about.
“In other words, for some trackers, numbers are not at all what self-tracking is really about.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Premisenone givenThe third promise of self-tracking for health is greater knowledge: knowledge that will be more precise, more actionable, and that will cover ever more areas, including one's knowledge of oneself.
“The third promise of self-tracking for health is greater knowledge: knowledge that will be more precise, more actionable, and that will cover ever more areas, including one's knowledge of oneself.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationCritical discussions of self-tracking for health have emerged in the social sciences literature, giving rise to a broad, polarized debate.
“In response to the overwhelmingly positive attention that self-tracking has received in the medical and public health literature, critical discussions of self-tracking for health have begun to emerge in the social sciences literature (e.g., Lupton 2012Lupton , 2013Lupton , 2014Lupton , 2015;;Morozov 2013;Whitson 2013;Nafus and Sherman 2014;Ruckenstein 2014;Till 2014), giving rise to a broad, Polar”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
InterpretationcitationSelf-tracking tools entail a minimal level of commitment to self-examination, self-monitoring, and self-improvement, placing them within a long history of medical surveillance and biopolitical governance.
“Self-tracking tools indeed entail a minimal level of commitment to selfexamination, self-monitoring, and self-improvement, placing them within a long history of medical surveillance and biopolitical governance (Foucault 1977;Armstrong 1995).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Foucault 1977
Not checked in the free run.
- cites Armstrong 1995 source
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based).
InterpretationreasoningConcerns about discipline, digital labor, and voluntary self-surveillance risk configuring users of self-tracking devices as mindless dupes.
“concerns of discipline, digital labor, and of individuals voluntarily partaking in selfsurveillance run the risk of configuring users of self-tracking devices as mindless dupes, unaware of or uninterested in the political and economic agendas at play.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningThe notion that human perception is prone to bias and that subjective experience, intuition, and haptic senses are lacking compared to quantification lies at the core of the quantified pursuit of self-awareness and self-knowledge.
“This notion, that human perception is prone to bias and that subjective experience, intuition, and haptic senses are somehow lacking in comparison to the arithmetic precision of quantification, lies at the core of the quantified pursuit of self-awareness and self-knowledge.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationAdvertisements and websites for wearables and apps typically portray lifestyle and chronic conditions as unruly things that need to be taken charge over, and devices as facilitators.
“Advertisements and websites for wearables and apps typically portray lifestyle and chronic conditions as unruly things that need to be taken charge over: users are called upon to Btake control of your sleep,^Beat smarter,^and Btell your weight who's boss,^ and devices are depicted as facilitators that can Bhelp you on your quest [toward glucose control]^”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenPatient- or citizen-run studies using data generated by tracking and monitoring devices conducted individually or in groups are becoming an important trend.
“Patient-or citizen-run studies using data generated by tracking and monitoring devices conducted individually or in groups are also becoming an important trend.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningAlternative enactments of values may challenge both the promises and concerns in the debate on self-tracking for health and can lay the groundwork for new conceptual interventions in future research.
“Insofar as these may challenge both the promises and concerns in the debate on self-tracking for health, they can lay the groundwork for new conceptual interventions in future research.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningA number of the assumptions underlying claims in the self-tracking debate need further empirical examination.
“In other words, a number of the assumptions underlying these claims need further empirical examination.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningThe promise of empowerment in the personalized healthcare and digital health debate invokes the value of autonomy.
“The promise of empowerment that has been shown to be key in the PHC and digital health debate thus invokes, in various ways, the value of autonomy.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIt is estimated that by 2017, almost 2 billion people worldwide will use digital devices to track their health.
“it is estimated that by 2017, almost 2 billion people worldwide will use digital devices to track their health (Research2Guidance 2013).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Research2Guidance 2013
Not checked in the free run.
Classified as probably not a substantial claim.
Interpretationnone givenThe debate on self-tracking for health is not solely about health outcomes but is very much about fundamental values at stake in the move toward personalized healthcare, namely autonomy, solidarity, and authenticity.
“I argue that far from being solely about health outcomes, this debate is very much about fundamental values that are at stake in the move toward personalized healthcare, namely, the values of autonomy, solidarity, and authenticity.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
Interpretationnone givenMany of the arguments made for and against the desirability of self-tracking for health are persuasive but present important limitations.
“many of the arguments made for and against the desirability of self-tracking for health in these discussions are persuasive.They also, however, present important limitations that should be made explicit and grappled with if we want to understand how people are experiencing the use of self-tracking for health in the move toward PHC.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenIn many advertisements and popular accounts of self-tracking, the notion that collecting fine-grained details about one's body can lead to unique insights about oneself is key.
“In many advertisements and popular accounts of self-tracking, the notion that collecting fine-grained details about various aspects of one's body can lead to unique insights about oneself is key.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningThe promise of improved and sustainable overall health in self-tracking and PHC is presented as working in a bottom-up fashion, with an individualizing moment crucial to the enterprise.
“Interestingly, the promise of improved and sustainable overall health here is presented as working in a bottom-up fashion that is not the traditional proposed mechanism for achieving population or public health goals, certainly not in the European context.There is an individualizing moment in the promissory discourse of selftracking for health and PHC-expressed in the very terms of Bpersonaliz”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningDiscourses of empowerment and individual choice in self-tracking for health are rhetorical devices that conceal political and economic agendas often detached from the real interests of patients and citizens, masking a dynamic of abandonment rather than empowerment.
“In terms of the promise of improved overall health, this means that discourses of empowerment and individual choice are rhetorical devices that conceal political and economic agendas that are often detached from the real interests of patients and citizens, masking a dynamic of abandonment rather than empowerment.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone givenPHC is presented as a stone that kills two birds: its effectiveness is tantamount to its cost-efficiency.
“PHC is thus a stone that kills two birds: its effectiveness is tantamount to its cost-efficiency.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Premisenone givenLinking big biomedical data will enable researchers to identify which treatments are most effective for particular conditions, to test new hypotheses and identify patterns related to drug side effects, and to create larger study populations.
“Linking big biomedical data, it is argued, will enable researchers to identify which treatments are most effective for particular conditions, to test new hypotheses and identify patterns related to drug side effects and to create the possibility of larger study populations than ever thought possible.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenIncreased emphasis on individual responsibility in health has been the focus of intense critique by scholars working on health and governance issues.
“Yet, since its emergence, the increased emphasis on individual responsibility in health has been the focus of intense critique by scholars working on health and governance issues.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationThe second promise of self-tracking for health is improved overall health and more sustainable healthcare.
“The second promise of self-tracking for health is improved overall health and more sustainable healthcare.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Premisenone givenThe promise of empowerment resonates widely across the discursive landscape of self-tracking for health.
“The promise of empowerment resonates widely across the discursive landscape of selftracking for health.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Premisenone givenTwo fundamental components of personalized healthcare are its emphasis on data and its emphasis on individuals.
“Two fundamental components of personalized healthcare (PHC), the combination of which underlies perhaps more than anything else the revolutionary claims of its proponents, are its emphasis on data and its emphasis on individuals.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
InterpretationreasoningOn both sides of the self-tracking debate, users of self-tracking devices are often configured in unrealistic ways: either as rational consumers who make autonomous health choices or as victims of insidious forces.
“on both sides of this debate, users of self-tracking devices are often configured in unrealistic ways: either as rational consumers who make autonomous health choices or as victims of insidious forces to which they remain oblivious.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenMany claims in the debate on self-tracking for health take place in a highly theoretical and even speculative vacuum.
“First amongst these limitations is that many of these claims are taking place in a highly theoretical and even speculative vacuum, certainly in the case of the promises being made, but also, often, in the case of the anticipated fears.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningThe debate on self-tracking and personalized healthcare coalesces around three fundamental values: autonomy, solidarity, and authenticity.
“these promises and concerns coalesce around three fundamental values that are at stake in the move toward PHC and the widespread adoption of self-tracking for health, to which both sides of this debate appealthe values of autonomy, solidarity, and authenticity.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe novelty with self-tracking for health is that it portrays empowerment as one of its paramount virtues.
“The novelty with selftracking for health is that it portrays empowerment as one of its paramount virtues.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationReferences to the Delphic maxim 'Know thyself' are rife in the quantified self blogosphere and presentations.
“References to the Delphic maxim to BKnow thyself^are rife in the quantified self blogosphere (Wolf 2009;de Groot 2012) and presentations.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Wolf 2009
Not checked in the free run.
- cites de Groot 2012
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe quest for personal meaning about oneself via self-tracking is most pronounced in the Quantified Self movement.
“Nowhere is this quest for personal meaning about oneself via self-tracking more pronounced than in what is known as the Quantified Self movement.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
InterpretationreasoningThe promises of increased empowerment through individual responsibility are highly problematic, if not empty labels used for predominantly economic interests.
“the promises put forward, especially concerning increased empowerment by means of individual responsibility, emerge as highly problematic, if not empty labels used for predominantly economic interests, as the critique of those promises makes clear.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenOne of the biggest novelties of digital self-tracking is that it makes it possible to collect data on individuals continuously, creating a much more complex and complete picture than if health data is only collected at regular intervals.
“One of the biggest novelties of digital self-tracking is that it makes it possible to collect data on individuals continuously, creating a much more complex and complete picture than if health data is only collected at regular intervals.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningSelf-tracking devices are portrayed as powerful tools in the data-intensive rehaul of health research, as generators of the small data on individual users that will feed vast datasets.
“Self-tracking devices are portrayed as powerful tools in this radical, data-intensive rehaul of health research, as generators of the Bsmall data^ on any one individual user that will feed these vast datasets.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenThe abundance of data that tracking devices can generate promises to transform the relationship of individuals to their own health, bodies, psyches, and selves.
“While the digitalization of medical research is largely institutionally driven, at the level of individual patients and citizens, the abundance of data that tracking devices can generate also promises to transform the relationship of individuals to their own health and further to their bodies, their psyches, and their selves.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenCurrent discussions surrounding self-tracking in personalized healthcare can be depicted in terms of three key polarizations: empowerment vs. discipline and surveillance, individual vs. collective responsibility for health, and greater self-knowledge vs. alienation via quantification.
“In summary, current discussions surrounding the use of self-tracking technologies in the move toward PHC can be depicted in terms of three key polarizations: empowerment vs. discipline and surveillance, individual vs. collective responsibility for health, and greater self-knowledge vs. alienation via quantification.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningIn the promissory discourse, to be engaged in one's health is ipso facto to be engaged in the health of the population.
“In this sense, to be engaged in one's health is, ipso facto, to be engaged in the health of the population.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenA practice-based approach, which studies how values are enacted in specific practices, can open the way for a new set of theoretical questions.
“I suggest that a practice-based approach, which studies how values are enacted in specific practices, can open the way for a new set of theoretical questions.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningSome important questions emerging from the self-tracking debate are empirical questions that can be addressed using ethnographic methods.
“some of the important questions that emerge from this debate are, to an important extent, empirical questions that can be addressed using empirical, namely ethnographic methods.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenTaking a practice-based approach to the study of values allows identifying the emergence of new forms of solidarity in unexpected sites.
“Taking a practice-based approach to the study of values is a first step in this direction, insofar as it allows us to identify the emergence of new forms of solidarity in unexpected sites.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThe Quantified Self emphasis on individual health and well-being reproduces the disciplinary dimension of healthism while simultaneously disputing its content by subjecting it to scientific scrutiny and challenging authoritative health claims.
“While this emphasis on individual health and well-being does reproduce the disciplinary dimension of the discourse of healthism, as critics in the self-tracking and PHC debate point out, it simultaneously disputes the content of that discourse by subjecting it to (at least somewhat) scientific scrutiny and thus challenges authoritative health claims.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningIn the Quantified Self context, what constitutes a healthy practice may be completely different for different people, challenging the very existence of a norm.
“In this context, what constitutes a healthy practice may be completely different for different people, not just as a deviation from a norm, but as something that actually challenges the very existence of a norm.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationWithin a practice-based approach, values are conceptualized as emerging from within practices and as embedded in and taking shape in everyday practices.
“Within such a practice-based approach, values are also conceptualized as emerging from within practices.Rather than abstract entities-BTruth,^BFreedom,^ BFriendship^-or universal truth claims that precede or transcend experience, values are understood here as embedded in and as taking shape in everyday practices.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Mol 2002 source
Not checked in the free run.
- cites Pols 2012
Not checked in the free run.
- cites Swierstra 2013
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationAt the core of practice approaches is the idea that the primary relation of humans to the world is through practical activity, not contemplation and representation.
“At the core of these approaches is the idea that the primary relation of humans to the world is not by way of contemplation and representation, but through practical activity.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Schatzki et al. 2001
Not checked in the free run.
- cites Reckwitz 2002 source
Not checked in the free run.
- cites Nicolini 2012
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningCollective projects are one of the directions some QSers will take in the future.
“Collective projects do seem to be one of the directions that some QSers will be taking in the future.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningIn the discussion around types of knowledge produced by self-tracking, both advocates and critics appeal to the value of authenticity.
“Likewise, in the discussion around the types of knowledge that can be produced using self-tracking devices, both advocates and critics appeal to the value of authenticity, in the form of an enhanced or an impoverished relationship to one's self.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationFor many QSers, the relationship between objective data and subjective experience is not a zero-sum game but a tension and negotiation that produces meaning, a process QSers are often aware of partaking in.
“As we argue in that context, the relationship between so-called objective data and socalled subjective experience is hardly a zero-sum game for many QSers, but rather a tension and a negotiation that produces meaning, a process that QSers are often aware of partaking in.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Sharon and Zandbergen 2016
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningValues have multiple meanings because, insofar as they are enacted, they can be enacted in different ways in different contexts.
“It implies that values have multiple meanings since, insofar as they are enacted, they can be enacted in different ways in different contexts.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
PremisecitationValues are articulated in specific acts or enacted.
“They are articulated in specific acts or Benacted^ (Mol 2002;Pols 2012;Swierstra 2013).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Mol 2002 source
Not checked in the free run.
- cites Pols 2012
Not checked in the free run.
- cites Swierstra 2013
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductown dataThe paper's analysis is based on observations and interviews within the Quantified Self community at various meetings and international conferences between 2013 and 2015.
“based on observations and interviews carried out within the Quantified Self community of self-trackers at various meetings and international conferences between 2013 and 2015, where members demonstrate, describe, and discuss their self-tracking practices.”
Quote in the paperSubstantial claim- Rests on an assumption: The Quantified Self community and its meetings, presentations, and members' self-reports provide a valid and sufficiently representative basis for drawing conclusions about self-tracking for health practices in the move toward personalized healthcare.
Probably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningA shift of emphasis toward practices and a reframing of the debate in terms of values offers an alternative framework to describe and evaluate self-tracking tools.
“A shift of emphasis toward practices and a reframing of the debate on PHC and selftracking in terms of values thus offers an alternative framework from within which to describe and begin to evaluate the use of self-tracking tools.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPractice theories have become increasingly popular in recent years in philosophy, cultural theory, sociology, anthropology, and science and technology studies.
“Practice theories have become increasingly popular in recent years in philosophy, cultural theory, sociology, anthropology, and science and technology studies, as offering a new vista for understanding social reality (see, for example, Schatzki et al. 2001;Reckwitz 2002;Nicolini 2012).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Schatzki et al. 2001
Not checked in the free run.
- cites Reckwitz 2002 source
Not checked in the free run.
- cites Nicolini 2012
Not checked in the free run.
May combine two claims.
InterpretationcitationThe idea that QSers are data fetishists enamored by the truth and objectivity of data is very limiting and fails to account for other ways QSers render their tracking practices meaningful.
“As Zandbergen and I have argued elsewhere (Sharon and Zandbergen 2016), however, the idea that QSers are enamored by the perceived power of truth and objectivity of data that they are data fetishists, is very limiting and fails to account for a variety of other ways that QSers render their tracking practices meaningful.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Sharon and Zandbergen 2016
Not checked in the free run.
Classified as probably not a substantial claim.
InterpretationreasoningThe spirit of autonomy in Quantified Self comes to the fore as an attempt to navigate a complex world of messages and social conventions and to carve out a space of agency.
“Thisspirit of autonomy comes to the fore as an attempt to navigate a complex world where various messages and social conventions conveyed by the media, by medical institutions, and by the state tell people what to do and to carve out a space of agency therein.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenSelf-tracking practices can open up new spaces for the enactment of solidarity.
“if I have highlighted that self-tracking practices can open up new spaces for the enactment of solidarity”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningIn these forms of self-tracking, tracking practices may activate a heightened awareness of one's body, self, and environment, while data may enable new types of self-expression and enactments of authenticity.
“In these forms of self-tracking, tracking practices may activate a heightened awareness of one's body, self, and environment, while data may enable new types of self-expression and enactments of authenticity.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
InterpretationreasoningThe debate on digital and personalized healthcare is detached from the everyday experiences of people who are actually using self-tracking devices in their daily lives.
“Third, and in light of these, it is detached from the everyday experiences of people who are actually using self-tracking devices in their daily lives.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningA practice-based approach that studies how values are articulated or enacted in specific practices is useful for moving beyond the limitations of the debate on digital and personalized healthcare.
“A practice-based approach, I suggested, that studies how values are articulated or enacted in specific practices, is useful for moving beyond these limitations.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenThe value of autonomy is enacted differently in self-tracking practices on the backdrop of discourses of healthism and a culture of surveillance.
“if I have highlighted that the value of autonomy is enacted differently in self-tracking practices on the backdrop of discourses of healthism and a culture of surveillance”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningA practice-based approach can lay the groundwork for new conceptual interventions and questions and reorient focus to enactments of values in unexpected empirical sites.
“It can lay the groundwork for a series of new conceptual interventions and questions, and it can reorient our focus to enactments of values in unexpected empirical sites.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
Interpretationnone givenThe debate on digital and personalized healthcare remains highly speculative-certainly in terms of its promises, but also in terms of a number of its concerns.
“First, it remains highly speculative-certainly in terms of its promises, but also in terms of a number of its concerns.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Interpretationnone givenThe debate on digital and personalized healthcare tends to configure users of self-tracking devices in unrealistic ways-either as rational consumers who make autonomous health choices or as victims of insidious political and economic agendas of which they are oblivious.
“Second, it tends to configure users of self-tracking devices in unrealistic ways-either as rational consumers who make autonomous health choices or as victims of insidious political and economic agendas of which they are oblivious.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone givenThe examples discussed in the paper are drawn from a very specific group of practitioners who share all the common characteristics known to early adopters.
“The examples discussed here, to be sure, are drawn from a very specific group of practitioners, who share all the common characteristics known to Bearly adopters.^”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationFor some trackers, numbers may be an unsophisticated, intermediate stage toward more augmented senses and expanded notions of selfhood.
“They may instead be more like an unsophisticated, intermediate stage toward more augmented senses and, perhaps, expanded notions of selfhood (Swan 2013).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Swan 2013 source
Not checked in the free run.
The paper relies on this without support.
Public healthcare systems in the industrialized West are in crisis due to spiraling costs, an ageing population, and the rise of chronic diseases.
“In recent decades, spiraling costs, an ageing population, and the rise of chronic diseases have propelled public healthcare systems in the industrialized West into crisis.”
The paper relies on this without support.
The Quantified Self community and its meetings, presentations, and members' self-reports provide a valid and sufficiently representative basis for drawing conclusions about self-tracking for health practices in the move toward personalized healthcare.
“based on observations and interviews carried out within the Quantified Self community of self-trackers at various meetings and international conferences between 2013 and 2015, where members demonstrate, describe, and discuss their self-tracking practices.”
“Yet, for members of QS, and arguably for many selftrackers beyond QS, a crucial aspect of self-tracking is the opportunity to share their data with others and to participate in self-tracking communities of various sorts.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Algorithms can lead to biased results.
“However, algorithms can also lead to biased results”
From Ethics and governance of trustworthy medical artificial intelligence (2023) · cites this paper as [24]
Cites
Discipline and Punish: The Birth of the Prison.
Tarbet, D. W., Foucault, M., & Sheridan, A. (1978) · Eighteenth-Century Studies · doi:10.2307/2737970 · Cited by 19,269 · see citing works
Rose, N. (1999) · Cambridge University Press eBooks · doi:10.1017/cbo9780511488856 · Cited by 6,357 · see citing works
Powers of freedom: reframing political thought
(2000) · Choice Reviews Online · doi:10.5860/choice.37-3035 · Cited by 5,618 · see citing works
Toward a Theory of Social Practices: A Development in Culturalist Theorizing
Reckwitz, A. (2002) · European Journal of Social Theory · doi:10.1177/13684310222225432 · Cited by 5,544 · see citing works
boyd, D., & Crawford, K. (2012) · Information, Communication & Society · doi:10.1080/1369118x.2012.678878 · Cited by 5,479 · see citing works
The Body Multiple: Ontology in Medical Practice
Mol, A. (2002) · doi:10.1215/9780822384151 · Cited by 4,381 · see citing works
The Practice Turn in Contemporary Theory
Turner, S. (2005) · Routledge eBooks · doi:10.4324/9780203977453 · Cited by 3,961 · see citing works
The practice turn in contemporary theory
Styhre, A. (2003) · Scandinavian Journal of Management · doi:10.1016/s0956-5221(03)00029-0 · Cited by 2,176 · see citing works
Healthism and the Medicalization of Everyday Life
Crawford, R. (1980) · International Journal of Health Services · doi:10.2190/3h2h-3xjn-3kay-g9ny · Cited by 1,946 · see citing works
From Counterculture to Cyberculture
Turner, F. (2006) · University of Chicago Press eBooks · doi:10.7208/chicago/9780226817439.001.0001 · Cited by 1,824 · see citing works
Terranova, T. (2000) · Social Text · doi:10.1215/01642472-18-2_63-33 · Cited by 1,749 · see citing works
(2013) · The MIT Press eBooks · doi:10.7551/mitpress/9302.001.0001 · Cited by 1,173 · see citing works
The rise of surveillance medicine
Armstrong, D. (1995) · Sociology of Health & Illness · doi:10.1111/1467-9566.ep10933329 · Cited by 1,083 · see citing works
The Quantified Self: Fundamental Disruption in Big Data Science and Biological Discovery
Swan, M. (2013) · Big Data · doi:10.1089/big.2012.0002 · Cited by 931 · see citing works
Health as a meaningful social practice
Crawford, R. A. (2006) · Health An Interdisciplinary Journal for the Social Study of Health Illness and Medicine · doi:10.1177/1363459306067310 · Cited by 816 · see citing works
Swan, M. (2009) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph6020492 · Cited by 730 · see citing works
A New Algorithmic Identity: Soft Biopolitics and the Modulation of Control
Cheney-Lippold, J. (2011) · Theory, Culture & Society · doi:10.1177/0263276411424420 · Cited by 684 · see citing works
Quantifying the body: monitoring and measuring health in the age of mHealth technologies
Lupton, D. A. (2013) · Critical Public Health · doi:10.1080/09581596.2013.794931 · Cited by 650 · see citing works
P4 Medicine: How Systems Medicine Will Transform the Healthcare Sector and Society
Flores, M., Glusman, G., Brogaard, K., Price, N. D., & Hood, L. (2013) · Personalized Medicine · doi:10.2217/pme.13.57 · Cited by 621 · see citing works
Can Mobile Health Technologies Transform Health Care?
Steinhubl, S. R., Muse, E. D., & Topol, E. J. (2013) · JAMA · doi:10.1001/jama.2013.281078 · Cited by 496 · see citing works
Understanding health promotion in a neoliberal climate and the making of health conscious citizens
Ayo, N. Y. (2011) · Critical Public Health · doi:10.1080/09581596.2010.520692 · Cited by 480 · see citing works
Jain, S. H., Powers, B. W., Hawkins, J. B., & Brownstein, J. S. (2015) · Nature Biotechnology · doi:10.1038/nbt.3223 · Cited by 425 · see citing works
M-health and health promotion: The digital cyborg and surveillance society
Lupton, D. (2012) · Social Theory & Health · doi:10.1057/sth.2012.6 · Cited by 411 · see citing works
Creating Citizen-Consumers: Changing Publics & Changing Public Services
Clarke, J. H., Newman, J., Smith, N., et al. (2007) · SAGE Publications Ltd eBooks · doi:10.4135/9781446213551 · Cited by 411 · see citing works
Quantified sex: a critical analysis of sexual and reproductive self-tracking using apps
Lupton, D. A. (2014) · Culture Health & Sexuality · doi:10.1080/13691058.2014.920528 · Cited by 404 · see citing works
Swan, M. (2012) · Journal of Personalized Medicine · doi:10.3390/jpm2030093 · Cited by 400 · see citing works
Visualized and Interacted Life: Personal Analytics and Engagements with Data Doubles
Ruckenstein, M. (2014) · Societies · doi:10.3390/soc4010068 · Cited by 375 · see citing works
Gitelman, L. (2013) · Cited by 364 · see citing works
Wicks, P., Vaughan, T. E., Massagli, M. P., & Heywood, J. (2011) · Nature Biotechnology · doi:10.1038/nbt.1837 · Cited by 362 · see citing works
The 'big data' revolution in healthcare: Accelerating value and innovation
Groves, P., Kayyali, B., Knott, D., & Kuiken, S. V. (2016) · Cited by 356 · see citing works
Finding the Missing Link for Big Biomedical Data
Weber, G. M., Mandl, K. D., & Kohane, I. S. (2014) · JAMA · doi:10.1001/jama.2014.4228 · Cited by 349 · see citing works
Wake Detection Capacity of Actigraphy During Sleep
Paquet, J., Kawinska, A., & Carrier, J. (2007) · SLEEP · doi:10.1093/sleep/30.10.1362 · Cited by 345 · see citing works
Creating Citizen-Consumers: Changing Publics and Changing Public Services
Clarke, J. H., Newman, J., Smith, N., et al. (2007) · Kent Academic Repository (University of Kent) · Cited by 342 · see citing works
Nutritionism: The Science and Politics of Dietary Advice
Scrinis, G. (2013) · doi:10.7312/scri15656 · Cited by 322 · see citing works
Whitson, J. R. (2013) · Surveillance & Society · doi:10.24908/ss.v11i1/2.4454 · Cited by 300 · see citing works
Patient Will See You Now: The Future of Medicine is in Your Hands
Kim, E. (2015) · Healthcare Informatics Research · doi:10.4258/hir.2015.21.4.321 · Cited by 290 · see citing works
The Patient Will See You Now: The Future of Medicine is in Your Hands
Parish, J. (2015) · Journal of Clinical Sleep Medicine (JCSM) · doi:10.5664/jcsm.4788 · Cited by 273 · see citing works
Mobile mental health: Review of the emerging field and proof of concept study
Harrison, V., Proudfoot, J., Wee, P. P., Parker, G., Pavlovic, D. H., & Manicavasagar, V. (2011) · Journal of Mental Health · doi:10.3109/09638237.2011.608746 · Cited by 267 · see citing works
From data fetishism to quantifying selves: Self-tracking practices and the other values of data
Sharon, T., & Zandbergen, D. (2016) · New Media & Society · doi:10.1177/1461444816636090 · Cited by 260 · see citing works
Self-citationSelf-Tracking Modes: Reflexive Self-Monitoring and Data PracticesPreprint
Lupton, D. A. (2014) · SSRN Electronic Journal · doi:10.2139/ssrn.2483549 · Cited by 213 · see citing works
This One Does Not Go Up to 11: The Quantified Self Movement as an Alternative Big Data Practice
Nafus, D., & Sherman, J. (2014) · Cited by 210 · see citing works
National Academy of Sciences (NAS)
Cole, S. A. (2013) · Encyclopedia of Forensic Sciences · doi:10.1016/b978-0-12-382165-2.00285-3 · Cited by 210 · see citing works
Exercise as Labour: Quantified Self and the Transformation of Exercise into Labour
Till, C. (2014) · Societies · doi:10.3390/soc4030446 · Cited by 188 · see citing works
Personalizing medicine: Futures present and past
Tutton, R. (2012) · Social Science & Medicine · doi:10.1016/j.socscimed.2012.07.031 · Cited by 187 · see citing works
Andrejevic, M. (2014) · International journal of communication · Cited by 160 · see citing works
SOLIDARITY IN CONTEMPORARY BIOETHICS – TOWARDS A NEW APPROACH
Prainsack, B., & Buyx, A. (2012) · Bioethics · doi:10.1111/j.1467-8519.2012.01987.x · Cited by 157 · see citing works
Desired Features of Smartphone Applications Promoting Physical Activity
Rabin, C., & Bock, B. C. (2011) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2011.0055 · Cited by 153 · see citing works
Care at a Distance : On the Closeness of Technology
Pols, J. (2012) · doi:10.26530/oapen_413032 · Cited by 151 · see citing works
To Save Everything, Click Here
Morozov, E. (2013) · Cited by 121 · see citing works
Dickenson, D. L. (2013) · Columbia University Press eBooks · doi:10.7312/dick15974 · Cited by 108 · see citing works
(1974) · Health Education Journal · doi:10.1177/001789697403300301 · Cited by 100 · see citing works
Care at a Distance: On the Closeness of Technology
Felix, L. M. (2013) · Sociology of Health & Illness · doi:10.1111/1467-9566.12032 · Cited by 88 · see citing works
New Types of Solidarity in the European Welfare State
Houtepen, R., & ter Meulen, R. (2000) · Health Care Analysis · doi:10.1023/a:1026530912872 · Cited by 83 · see citing works
Umansky, L. (2012) · Women's studies quarterly · doi:10.1353/wsq.2012.0006 · Cited by 81 · see citing works
Houtepen, R., & ter Meulen, R. (2000) · Health Care Analysis · doi:10.1023/a:1026587031528 · Cited by 61 · see citing works
Personhood and Solidarity: What Kind of Personalized Medicine Do We Want?
Prainsack, B. (2014) · Personalized Medicine · doi:10.2217/pme.14.49 · Cited by 51 · see citing works
Sociology and health promotion
Burrows, R., Nettleton, S., & Bunton, R. (2010) · Taylor & Francis eBooks · doi:10.4324/9780203429495_chapter_1 · Cited by 51 · see citing works
Healthy citizenship beyond autonomy and discipline: Tactical engagements with genetic testing
Sharon, T. (2014) · BioSocieties · doi:10.1057/biosoc.2014.29 · Cited by 50 · see citing works
Self-citationMe medicine vs. we medicine: reclaiming biotechnology for the common good
Dickenson, D. 1. (2014) · Choice Reviews Online · doi:10.5860/choice.51-3873 · Cited by 49 · see citing works
The formula: how algorithms solve all our problems--and create more
(2015) · Choice Reviews Online · doi:10.5860/choice.188961 · Cited by 49 · see citing works
Ireland, S., Narjic, C. W., Belton, S., et al. (2014) · Culture Health & Sexuality · doi:10.1080/13691058.2014.937747 · Cited by 41 · see citing works
Beyond the Clinic: ‘Direct-to-Consumer‘ Genomic Profiling Services and Pharmacogenomics
Prainsack, B., & Vayena, E. (2013) · Pharmacogenomics · doi:10.2217/pgs.13.10 · Cited by 35 · cited 1× · see citing works
“The growing use of self-tracking devices means that, potentially, a significant amount of that data can be generated Bbeyond the clinic^ (Prainsack and Vayena 2013) by patients and citizens themselves, thus reconfiguring them as knowledge producers, not just knowledge recipients (ESF 2012).”
BackgroundFriendship, Otherness, and Gadamer’s Politics of Solidarity
Walhof, D. R. (2006) · Political Theory · doi:10.1177/0090591706290515 · Cited by 32 · see citing works
(2010) · Palgrave Macmillan UK eBooks · doi:10.1057/9780230292543 · Cited by 29 · see citing works
Configuring Health Consumers: Health Work and the Imperative of Personal Responsibility
Wyatt, S., Harris, R. G., & Wathen, C. N. (2010) · Cited by 26 · see citing works
Ter Meulen, R., & Jotterand, F. (2008) · Journal of Medicine and Philosophy · doi:10.1093/jmp/jhn012 · Cited by 24 · see citing works
Cyber-management of people with chronic disease: A potential solution to eHealth challenges
Laakso, E., Armstrong, K., & Usher, W. T. (2011) · Health Education Journal · doi:10.1177/0017896911408813 · Cited by 24 · see citing works
Public Health Perspective: From Personalized Medicine to Personal Health
Cesuroglu, T., van Ommen, B., Malats, N., Sudbrak, R., Lehrach, H., & Brand, A. (2012) · Personalized Medicine · doi:10.2217/pme.12.16 · Cited by 23 · see citing works
Self-Tracking: Better Medicine Through Pattern Recognition
Wiederhold, B. K. (2012) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2012.1545 · Cited by 22 · see citing works
Ritter, S. (2014) · Journal of Clinical Trials · doi:10.4172/2167-0870.1000e120 · Cited by 22 · see citing works
A brief history of empowerment: response to discussion with Julianne Cheek
Traynor, M. (2003) · Primary Health Care Research & Development · doi:10.1191/1463423603pc141oa · Cited by 17 · see citing works
Elmore, J. G. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-802209-2.00001-2 · Cited by 12 · see citing works
Harris, R. J. D., Wathen, C. N., & Wyatt, S. (2010) · Cited by 10 · see citing works
A European view on the future of personalised medicine in the EU
Coggi, P. T. (2011) · European Journal of Public Health · doi:10.1093/eurpub/ckq202 · Cited by 10 · see citing works
Book review: the formula: how algorithms solve all our problems … and create more by Luke Dormehl
Veale, M. (2015) · London School of Economics and Political Science Research Online (London School of Economics and Political Science) · Cited by 8 · see citing works
New edge : technology and spirituality in the San Francisco Bay Area
Zandbergen, A. D. (2011) · Data Archiving and Networked Services (DANS) · Cited by 8 · see citing works
Healthcare and Data: An Interview with Peter Szolovits
Dhar, V. (2014) · Big Data · doi:10.1089/big.2014.1529 · Cited by 2 · see citing works
Horning, R. (2013) · The New Inquiry · Cited by 1 · see citing works
Flagged first, then by citations
12 of the 90 references couldn’t be matched to a known paper.
Research works printed but not linked: 6
- ABI research (2013) Wearable computing devices, like Apple’s iWatch, will exceed 485 million annual shipments by 2018. Retrieved from https://www.abiresearch.com/press/wearable-computing-devices-like-apples-iwatch-will . Accessed 25.2.2015.
- Foreman, A., et al. (2011). Just text me: using SMS technology for collaborative patient mood charting. Journal of Participatory Medicine, 3, e45.
- Fox, S., & Duggan, M. (2013). Tracking for health. Washington, DC: Pew Research Center.
- Kelly, K. (2012) The quantified century. Retrieved from http://quantifiedself.com/conference/Palo-Alto-2012 .
- Nicolini, D. (2012). Practice theory, work, and organization. Oxford: Oxford University Press.
- Swierstra, T. (2013). Nanotechnology and techno-moral change. Ethics & Politics, 15(1), 200–219.
Cited by
Sorted by citations
Stephanidis, C., Salvendy, G., Antona, M., Chen, J. Y. C., Dong, J., Duffy, V. G., Fang, X., Fidopiastis, C., Fragomeni, G., Fu, L. P., et al. (2019) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2019.1619259 · Cited by 524 · see citing works
“Self-tracking provides the potential to actively involve individuals in the management of their health and to generate data that can benefit clinical decision making and research, resulting in improved overall health and greater self-knowledge (Sharon, 2017).”
BackgroundRuckenstein, M., & Schüll, N. D. (2017) · Annual Review of Anthropology · doi:10.1146/annurev-anthro-102116-041244 · Cited by 529 · see citing works
“…can produce a kind of empowerment “in the wild” that differs significantly from the normative empowerment that digital health promoters have in mind (Sharon 2017, p. 109), as when patients hack or dismantle tracking devices or set idiosyncratic tracking parameters that resist population-wide…”
BackgroundInfluentialEthics and governance of trustworthy medical artificial intelligence
Zhang, J., & Zhang, Z.-M. (2023) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-023-02103-9 · Cited by 507 · see citing works
“Bias is often encoded and expressed through machine learning, which can have far-reaching effects on the outcomes [24].”
BackgroundDinh-Le, C., Chuang, R., Chokshi, S. K., & Mann, D. (2019) · JMIR mhealth and uhealth · doi:10.2196/12861 · Cited by 416 · see citing works
“Currently, these devices have the potential to help patients and providers manage chronic conditions such as diabetes, heart conditions, and chronic pain [23-25].”
Canali, S., Schiaffonati, V., & Aliverti, A. (2022) · PLOS Digital Health · doi:10.1371/journal.pdig.0000104 · Cited by 416 · see citing works
Digital health and the biopolitics of the Quantified Self
Ajana, B. (2017) · Digital Health · doi:10.1177/2055207616689509 · Cited by 262 · see citing works
How Self-tracking and the Quantified Self Promote Health and Well-being: Systematic Review
Feng, S., Mäntymäki, M., Dhir, A., & Salmela, H. (2021) · Journal of Medical Internet Research · doi:10.2196/25171 · Cited by 179 · see citing works
“However, as argued by Lupton [113] and Sharon [37], the rise of self-tracking and the emergence of a market for health-related products and services can be related to a societal shift toward neoliberal thinking.”
BackgroundCo-evolving with self-tracking technologies
Kristensen, D. B., & Ruckenstein, M. (2018) · New Media & Society · doi:10.1177/1461444818755650 · Cited by 157 · see citing works
“Sharon (2016) also points to the mutual constitution and intertwining of data and the self, as well as the emergence of subjective feelings and communicative possibilities in connection with the use of digital technologies.”
BackgroundKnow Thyself: A Theory of the Self for Personal Informatics
Rapp, A., & Tirassa, M. (2017) · Human-Computer Interaction · doi:10.1080/07370024.2017.1285704 · Cited by 134 · see citing works
“Sharon (2016) emphasized that a view of the Quantified Selfers as data fetishists is limiting and that quantitative data are often an additional layer that contributes to self-narratives.”
BackgroundInfluentialDigital Phenotyping: Data-Driven Psychiatry to Redefine Mental Health
Oudin, A., Maatoug, R., Bourla, A., Ferreri, F., Bonnot, O., Millet, B., Schoeller, F., Mouchabac, S., & Adrien, V. (2023) · Journal of Medical Internet Research · doi:10.2196/44502 · Cited by 141 · see citing works
“There have been attempts at self-management, where patients are given greater autonomy with regard to technologies and the management of their symptoms [94].”
Skar, J. B., Garnweidner-Holme, L. M., Lukasse, M., & Terragni, L. (2017) · Midwifery · doi:10.1016/j.midw.2017.12.021 · Cited by 92 · see citing works
Smartphone-based objective monitoring in bipolar disorder: status and considerations
Faurholt‐Jepsen, M., Bauer, M., & Kessing, L. V. (2018) · International Journal of Bipolar Disorders · doi:10.1186/s40345-017-0110-8 · Cited by 100 · see citing works
“…connectivity, considerations such as the balance between empowerment and surveillance, implications for autonomy, social and economic implications, cultural implications, stress-inducing consequences, personal privacy and ethical issues have been addressed and discussed (Selke 2016; Sharon 2017).”
BackgroundInfluentialDigital hyperconnectivity and the self
Brubaker, R. (2020) · Theory and Society · doi:10.1007/s11186-020-09405-1 · Cited by 103 · see citing works
A mobile revolution for healthcare? Setting the agenda for bioethics
Lucivero, F., & Jongsma, K. R. (2018) · Journal of Medical Ethics · doi:10.1136/medethics-2017-104741 · Cited by 105 · see citing works
Wong, K., & Dobson, A. S. (2019) · Global Media and China · doi:10.1177/2059436419856090 · Cited by 104 · see citing works
Koivumäki, T., Pekkarinen, S., Lappi, M., Väisänen, J., Juntunen, J., & Pikkarainen, M. A. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7821 · Cited by 90 · see citing works
“This has attracted enthusiasm among health providers to move toward data-driven participatory and personalized health care services [1].”
BackgroundPersonal Informatics for Sport
Rapp, A., & Tirabeni, L. (2018) · ACM Trans. Comput. Hum. Interact. · doi:10.1145/3196829 · Cited by 74 · see citing works
Recommender systems for mental health apps: advantages and ethical challenges
Valentine, L., D’Alfonso, S., & Lederman, R. (2022) · AI & Society · doi:10.1007/s00146-021-01322-w · Cited by 97 · see citing works
Cordeiro, J. V. (2021) · Frontiers in Medicine · doi:10.3389/fmed.2021.647897 · Cited by 92 · see citing works
Henwood, F., & Marent, B. (2019) · Sociology of Health & Illness · doi:10.1111/1467-9566.12898 · Cited by 90 · see citing works
“Through a re-interpretation of key texts on self-tracking (Schüll, 2016; Sharon, 2017; Sharon & Zandbergen, 2017), and new empirical data on everyday self-trackers, they seek to explore how people ‘make sense with numbers’ and how numbers ‘make sense of people’ in ways that show the interplay between freedom and power…”
BackgroundMethodCarter, D. D., Robinson, K., Forbes, J., & Hayes, S. (2018) · PLoS ONE · doi:10.1371/journal.pone.0208759 · Cited by 78 · see citing works
Nittas, V., Lun, P., Ehrler, F., Puhan, M. A., & Mütsch, M. (2019) · Journal of Medical Internet Research · doi:10.2196/13320 · Cited by 76 · see citing works
“Without disregarding the challenges of electronic PGHD, generating one’s own health information might provide an incentive for behavioral change, facilitating health literacy and knowledge exchange [13,14].”
Wired Emotions: Ethical Issues of Affective Brain–Computer Interfaces
Steinert, S., & Friedrich, O. (2019) · Science and Engineering Ethics · doi:10.1007/s11948-019-00087-2 · Cited by 87 · see citing works
“Further, other authors have raised concerns regarding the disciplining effects of self-tracking and that self-tracking could infringe on values like autonomy and authenticity (Sharon 2017).”
BackgroundIncorporation of “Artificial Intelligence” for Objective Pain Assessment: A Comprehensive Review
El-Tallawy, S. N., Pergolizzi, J. V., Vasiliu-Feltes, I., Ahmed, R. S., LeQuang, J. A., El-Tallawy, H. N., Varrassi, G., & Nagiub, M. S. (2024) · Pain and Therapy · doi:10.1007/s40122-024-00584-8 · Cited by 81 · see citing works
Heyen, N. B. (2019) · Public Understanding of Science · doi:10.1177/0963662519888757 · Cited by 72 · see citing works
Dimensions of autonomy in human–algorithm relations
Savolainen, L., & Ruckenstein, M. (2022) · New Media & Society · doi:10.1177/14614448221100802 · Cited by 75 · see citing works
“The way technologies press against notions of self-directed action suggests that holding on to a clearly bounded notion of self-determination is becoming increasingly difficult (Schüll, 2012; Sharon, 2017).”
BackgroundAmbivalence in digital health: Co-designing an mHealth platform for HIV care
Marent, B., Henwood, F., & Darking, M. (2018) · Social Science & Medicine · doi:10.1016/j.socscimed.2018.09.003 · Cited by 69 · see citing works
“In their ethnographic studies of self-tracking practices, Sharon (2017) and Schüll (2016) have shown how self-trackers continuously negotiate and re-calibrate their intuitions and embodied experiences with the quantified data they generate through digital devices.”
BackgroundDigital twin-driven framework for improving self-management of ergonomic risks
Ogunseiju, O. R., Olayiwola, J., Akanmu, A. A., & Nnaji, C. A. (2021) · Smart and Sustainable Built Environment · doi:10.1108/sasbe-03-2021-0035 · Cited by 73 · see citing works
Mobile health ethics and the expanding role of autonomy
Schmietow, B., & Marckmann, G. (2019) · Medicine Health Care and Philosophy · doi:10.1007/s11019-019-09900-y · Cited by 70 · see citing works
The double-edged sword of digital self-care: Physician perspectives from Northern Germany
Fiske, A., Buyx, A., & Prainsack, B. (2020) · Social Science & Medicine · doi:10.1016/j.socscimed.2020.113174 · Cited by 65 · see citing works
Boers, S. N., Jongsma, K. R., Lucivero, F., Aardoom, J. J., Büchner, F. L., de Vries, M. C., Honkoop, P., Houwink, E. J. F., Kasteleyn, M. J., Meijer, E., et al. (2019) · European Journal of General Practice · doi:10.1080/13814788.2019.1678958 · Cited by 63 · see citing works
“Also, patients can become more familiar with their own body and disease symptoms, and become increasingly able to respond appropriately to changing symptoms [2,16,17].”
Background‘A Much Better Person’: The Agential Capacities of Self-tracking Practices
Lupton, D. A., & Smith, G. J. D. (2018) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-78743-289-520181004 · Cited by 65 · see citing works
Couture, V., Roy, M., Dez, E., Laperle, S., & Bélisle‐Pipon, J. (2023) · Journal of Medical Internet Research · doi:10.2196/44357 · Cited by 60 · see citing works
“This resonates with the literature on AI’s potential to damage patient autonomy [23].”
Sicart, M., & Shklovski, I. (2020) · Designing Interactive Systems Conference · doi:10.1145/3357236.3395526 · Cited by 63 · see citing works
“One of the examples of ‘pataphysical design we are presenting here addresses the quantified self, inspired by the critiques proposed by Whitson [74], Sharon [83], Moore and Robinson [61], and Linehan et al [56].”
A Conceptual Framework for Personal Science
Wolf, G., & de Groot, M. (2020) · Frontiers in Computer Science · doi:10.3389/fcomp.2020.00021 · Cited by 53 · see citing works
“The Quantified Self community has become a focus of academic research interest in the cultural effects of new technologies (see, for instance: Lee, 2013; Morozov, 2013; Swan, 2013; Choe et al., 2014; Lupton, 2016; Neff and Nafus, 2016; Ajana, 2017; Sharon, 2017; Heyen, 2020).”
BackgroundCrameri, K.-A., Maher, L. M., van Dam, P., & Prior, S. J. (2020) · Health Information Management Journal · doi:10.1177/1833358319895369 · Cited by 55 · see citing works
“New digital and mobile technologies provide an opportunity for consumers to become more involved in the management of their health information, helping to create a more targeted, preventative and personalised healthcare experience (Sharon, 2017).”
BackgroundHowell, N., Chuang, J. C.-I., Kosnik, A. T. D., Niemeyer, G. O., & Ryokai, K. (2018) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3274338 · Cited by 64 · see citing works
“Foucault’s analysis of internalized self-discipline in view of an all-seeing authority [35] has been applied to self-tracking (e.g., [81,92,96,120,122]).”
BackgroundThe Quantified Self in question(s)
Dagiral, É., Licoppe, C., Martin, O., Pharabod, A.-S., & Carey-Libbrecht, L. (2019) · Réseaux · doi:10.3917/res.216.0017 · Cited by 60 · see citing works
How the social dimension of fitness apps can enhance and undermine wellbeing
Whelan, E., & Clohessy, T. (2020) · Information Technology and People · doi:10.1108/itp-04-2019-0156 · Cited by 62 · see citing works
Patient Autonomy and Quality of Care in Telehealthcare
Rubeis, G., Schochow, M., & Steger, F. (2017) · Science and Engineering Ethics · doi:10.1007/s11948-017-9885-3 · Cited by 53 · see citing works
“The use of self-tracking devices focuses on data and the participation of the individual patient, two aspects which are crucial to personalized healthcare (Sharon 2016, 3).”
BackgroundFord, A., Togni, G. D., & Miller, L. (2021) · Engaging Science Technology and Society · doi:10.17351/ests2021.655 · Cited by 54 · see citing works
“In this article, in common with other work on health-related apps (e.g. Lupton 2014; Sharon 2016), we situate period tracking as a “technique of the self” (Foucault 1988) that both produces particular kinds of embodied experiences and reinforces contemporary political dynamics.”
BackgroundMethodWannheden, C., Stenfors, T., Stenling, A., & Schwarz, U. V. T. (2021) · Frontiers in Public Health · doi:10.3389/fpubh.2020.623773 · Cited by 49 · see citing works
“Selfmonitoring technologies, in particular, have raised polarized discussions, highlighting how it may either contribute to strengthen individual’s autonomy or, conversely, contribute to increased control and surveillance over individuals (48).”
BackgroundRiggare, S. S., Duncan, T. S., Hvitfeldt, H., & Hägglund, M. (2019) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-019-0896-7 · Cited by 50 · see citing works
“Sharon [29] has done work in self-tracking and found that there seems to be important considerations to make concerning autonomy, solidarity, and authenticity in relation to self-tracking as an element in personalised healthcare.”
BackgroundResultJust data? Solidarity and justice in data-driven medicine
Hummel, P., & Braun, M. (2020) · Life Sciences Society and Policy · doi:10.1186/s40504-020-00101-7 · Cited by 53 · see citing works
ter Harmsel, J. F., Noordzij, M. L., Goudriaan, A. E., Dekker, J. J. M., Swinkels, L. T. A., van der Pol, T. M., & Popma, A. (2021) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2020.11.009 · Cited by 47 · see citing works
“Finally, although beyond the scope of this article, ethical questions about surveillance and privacy, agency and autonomy should be carefully considered (Sharon, 2017; Torous et al., 2019).”
BackgroundSun, Y., Ma, X., Lindtner, S., & He, L. (2023) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3579475 · Cited by 56 · see citing works
“Data technologies also make the involvement and connection of multiple stakeholders, such as informal caregivers [35], volunteers [21], and patients themselves [65], much convenient.”
BackgroundThe particularity of dignity: relational engagement in care at the end of life
Pols, J., Pasveer, B., & Willems, D. L. (2017) · Medicine Health Care and Philosophy · doi:10.1007/s11019-017-9787-9 · Cited by 51 · see citing works
Rubeis, G., Dubbala, K., & Metzler, I. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.902542 · Cited by 48 · see citing works
“In a similar vein, Sharon (Sharon, 2016) interprets activation of patients as a means of cost-reduction in the health sector, e.”
InfluentialDesigning Documentary Informatics
Elsden, C., Durrant, A. C., Chatting, D. J., & Kirk, D. S. (2017) · Designing Interactive Systems Conference · doi:10.1145/3064663.3064714 · Cited by 51 · see citing works
“However, Sharon [49] paints a particularly nuanced portrait of self-trackers in the Quantified Self”
BackgroundInfluentialSohda, S., Suzuki, K., & Igari, I. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7468 · Cited by 47 · see citing works
“Sharon [36] argued that self-tracking health technologies reduce phenomena to numbers and “that this simultaneously displaces other, non-quantifiable yet highly insightful means of knowing and expression”.”
BackgroundPrecision Medicine in Parkinson’s Disease – Exploring Patient-Initiated Self-Tracking
Riggare, S. S., & Hägglund, M. (2018) · Journal of Parkinson s Disease · doi:10.3233/jpd-181314 · Cited by 44 · see citing works
“Technology enables patients to be more active in the management of their health by making use of technology for self-tracking of symptoms and selfcare [12].”
BackgroundSingh, N., Misra, R., Singh, S., Rana, N. P., & Khorana, S. (2022) · Technology and Society · doi:10.1016/j.techsoc.2022.102126 · Cited by 39 · see citing works
Maxwell, H., O’Shea, M., Stronach, M. M., & Pearce, S. (2019) · Annals of Leisure Research · doi:10.1080/11745398.2019.1674677 · Cited by 43 · see citing works
Creating ‘automatic subjects’: Corporate wellness and self-tracking
Till, C. (2019) · Health An Interdisciplinary Journal for the Social Study of Health Illness and Medicine · doi:10.1177/1363459319829957 · Cited by 44 · see citing works
The ethics of self-tracking. A comprehensive review of the literature
Wieczorek, M., Ó’Brolcháin, F., Saghai, Y., & Gordijn, B. (2022) · Ethics & Behavior · doi:10.1080/10508422.2022.2082969 · Cited by 46 · see citing works
“, those of young, fit, white, male users (Barassi, 2017; Lupton, 2016a; Moore, 2017, p. 17; Nissenbaum & Patterson, 2016; Sharon, 2017).”
BackgroundInfluentialCarbon footprint tracking apps. Does feedback help reduce carbon emissions?
Hoffmann, S., Lasarov, W., Reimers, H., & Trabandt, M. (2023) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2023.139981 · Cited by 50 · see citing works
Data Donations as Exercises of Sovereignty
Hummel, P., Braun, M., & Dabrock, P. (2019) · Philosophical studies series · doi:10.1007/978-3-030-04363-6_3 · Cited by 41 · see citing works
“However, it can have an inherently social and communicative dimension (cf. Sharon 2017, pp. 111–2; Ajana 2018, p. 128).”
BackgroundTironi, M., & Valderrama, M. (2017) · Environment and Planning D Society and Space · doi:10.1177/0263775817744781 · Cited by 42 · see citing works
“In the sections that follow, we will explore two positions that in our judgment tend to generalize and overestimate certain experiences of self-tracking technologies (for a more in-depth overview of this ‘‘polarized debate,’’ see Sharon, 2017).”
BackgroundWhat Gets Measured Gets Done: Can Self-Tracking Technologies Enhance Advice Compliance?
Wittkowski, K., Klein, J. F., Falk, T., Schepers, J., Aspara, J., & Bergner, K. N. (2020) · Journal of Service Research · doi:10.1177/1094670520904424 · Cited by 39 · see citing works
Ethical Issues in Social Science Research Employing Big Data
Hosseini, M., Wieczorek, M., & Gordijn, B. (2022) · Science and Engineering Ethics · doi:10.1007/s11948-022-00380-7 · Cited by 47 · see citing works
“As designers of algorithmic tools might be unaware of their own presuppositions and prejudices or they might not actively take steps to avoid biases in designing algorithms, many contemporary technologies have been demonstrated to exhibit various forms of algorithmic bias (Friedman & Nissenbaum, 1996; Sharon, 2017).”
BackgroundContested technology: Social scientific perspectives of behaviour-based insurance
Tanninen, M. (2020) · Big Data & Society · doi:10.1177/2053951720942536 · Cited by 43 · see citing works
Ethics of Gamification in Health and Fitness-Tracking
Arora, C., & Razavian, M. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph182111052 · Cited by 40 · see citing works
“There is evidence, for example, that such forums and meetings have helped members of the Quantified Self (QS) movement, which includes users of apps such as Fitbit, that measure and promote physical activity [24].”
BackgroundGeosurveillance, Location Privacy, and Personalization
Banerjee, S. (2019) · Journal of Public Policy & Marketing · doi:10.1177/0743915619860137 · Cited by 40 · see citing works
“Location intelligence also helps perso-nalize premiums for car insurance (Singh 2017) and health insurance (Sharon 2017) and detects triggers for health risks, such as using GPS-fitted inhalers to map asthma attack incidents to ambient air quality (De Nazelle et al. 2013).”
BackgroundToner, J. (2018) · Performance Enhancement & Health · doi:10.1016/j.peh.2018.06.001 · Cited by 38 · see citing works
Abeele, M. V., & Mohr, V. E. (2021) · Convergence The International Journal of Research into New Media Technologies · doi:10.1177/13548565211038539 · Cited by 37 · see citing works
“Screen time apps in particular can become tools to police our own screen time; self-tracking enables us to turn the gaze on ourselves and thus become our own internalized health promoter (Sharon, 2017).”
BackgroundCifor, M., & García, P. M. (2019) · ACM Transactions on Social Computing · doi:10.1145/3364685 · Cited by 38 · see citing works
“Personal data collection related to health and wellness has risen in popularity [36] and become a widespread activity due to social and economic factors including increasing emphasis on individual responsibilization and personalized health management [78], the growing wearables market, advancements in sensing technolo…”
BackgroundReconfiguring health knowledges? Contemporary modes of self-care as ‘everyday fringe medicine’
Vuolanto, P. H., Bergroth, H., Nurmi, J., & Salmenniemi, S. (2020) · Public Understanding of Science · doi:10.1177/0963662520934752 · Cited by 36 · see citing works
“This critique resonates with the discourse of ‘personalised healthcare’ (Topol, 2015; see also Harris et al., 2010; Sharon, 2017), which encourages health-related participation, proactive action and self-awareness.”
BackgroundPredictEYE: Personalized Time Series Model for Mental State Prediction Using Eye Tracking
Jyotsna, C., Amudha, J., Ram, A., Fruet, D., & Nollo, G. (2023) · IEEE Access · doi:10.1109/access.2023.3332762 · Cited by 38 · see citing works
“It includes tracking dietary intake, sleep patterns, and other vital parameters that can impact health [18], [19].”
BackgroundMobile health technology and empowerment
Kreitmair, K. (2023) · Bioethics · doi:10.1111/bioe.13157 · Cited by 34 · see citing works
Spors, V., Wagner, H. G., Flintham, M., Brundell, P., & Murphy, D. (2021) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445500 · Cited by 34 · see citing works
“Therefore, health-minded apps might support people in (re-)contexualising their own lives meaningfully [227], e.”
BackgroundRoutledge International Handbook of Critical Issues in Health and Illness
Chamberlain, K., & Lyons, A. C. (2021) · Routledge eBooks · doi:10.4324/9781003185215 · Cited by 34 · see citing works
The place of conditionality and individual responsibility in a “data-driven economy”
König, P. D. (2017) · Big Data & Society · doi:10.1177/2053951717742419 · Cited by 34 · see citing works
“While the new information infrastructure, hence, allows for managing greater complexity, the decentralized coordination on which it is based involves a radical individualization and stronger role of individuals as coproducers of the products, services, and solutions they receive (Sharon, 2017: 95).”
BackgroundInfluentialOn the body of the consumer: performance‐seeking with wearables and health and fitness apps
Hardey, M. (2019) · Sociology of Health & Illness · doi:10.1111/1467-9566.12879 · Cited by 31 · see citing works
“The mHealth concept sees self and body entwined in an emerging philosophy (and promotion) of digital self-care (Pantzar and Ruckenstein 2015; Sharon 2017).”
BackgroundHo, A. (2023) · doi:10.1093/med/9780197556269.001.0001 · Cited by 33 · see citing works
Digital Phenotyping: an Epistemic and Methodological Analysis
Coghlan, S., & D’Alfonso, S. (2021) · Philosophy & Technology · doi:10.1007/s13347-021-00492-1 · Cited by 35 · see citing works
“This epistemological mapping and analysis extends a small but growing body of recent philosophical work on the subject (Birk & Samuel, 2020; Burr & Cristianini, 2019; Burr et al., 2020; Loi, 2019; Mulvenna et al., 2021; Sharon, 2017; Stanghellini & Leoni, 2020; Tekin, 2020).”
BackgroundConceptualizations of user autonomy within the normative evaluation of dark patterns
Ahuja, S., & Kumar, J. (2022) · Ethics and Information Technology · doi:10.1007/s10676-022-09672-9 · Cited by 34 · see citing works
“Data centric approaches to health are critiqued as unidirectional and reductive, preventing individuals from exploring alternate means of health management (Sharon, 2017; Wieczorek et al., 2022).”
BackgroundResearch data management in health and biomedical citizen science: practices and prospects
Borda, A., Gray, K. M., & Fu, Y. (2019) · JAMIA Open · doi:10.1093/jamiaopen/ooz052 · Cited by 28 · see citing works
Sharon, T., & Koops, B. (2021) · Ethics and Information Technology · doi:10.1007/s10676-020-09575-7 · Cited by 29 · see citing works
“2004; Sharon 2017; Swierstra 2013).”
Self-citationNegotiating Authenticity in Technological Environments
Beerends, S., & Aydin, C. (2021) · Philosophy & Technology · doi:10.1007/s13347-021-00480-5 · Cited by 30 · see citing works
“, 2016), personalized healthcare (Sharon, 2017), bio-ethical debates on human enhancement technologies (Bolt, 2007; Marceta, 2020; Parens, 2005), and AI-generated art (Floridi, 2018).”
BackgroundEthical Dilemmas of Using Artificial Intelligence in Medicine
Astărăstoae, V., Rogozea, L. M., Leașu, F., & Ioan, B. (2024) · American Journal of Therapeutics · doi:10.1097/mjt.0000000000001693 · Cited by 23 · see citing works
“74 Moreover, algorithms can contain a variability of biases even indirectly, starting from human-induced bias and/or data.”
Berry, R., Rodgers, R. F., & Campagna, J. (2020) · Sex Roles · doi:10.1007/s11199-020-01201-6 · Cited by 29 · see citing works
“…devices have been analyzed in relation to their capacity to perpetuate narrow gender stereotypes and thus participate in constructing and protecting male privilege, as well as the gendered aspect of the neoliberal economic content in which they are embedded (Cifor and Garcia 2020; Sharon 2017).”
BackgroundJongsma, K. R., Bekker, M. N., Haitjema, S., & Bredenoord, A. L. (2021) · Pregnancy Hypertension · doi:10.1016/j.preghy.2021.05.017 · Cited by 27 · see citing works
Knowing (with) the body: Sensory knowing in contraceptive self‐tracking
Algera, E. (2022) · Sociology of Health & Illness · doi:10.1111/1467-9566.13570 · Cited by 28 · see citing works
“…practice In various popular discourses as well as some scholarship on self-tracking knowledge practices, tracking data is seen as providing access to objectivity about the self and the body, as per the quantified self movement adage of ‘self-knowledge through numbers’ (Heyen, 2016; Sharon, 2016).”
BackgroundDeveloping a smart operational research with hybrid practice theories
Bürger, K., White, L., & Yearworth, M. (2019) · European Journal of Operational Research · doi:10.1016/j.ejor.2019.03.027 · Cited by 28 · see citing works
“Moreover, as measurement is never entirely neutral ( Lustig et al., 2016; Prinsloo, 2017; Sharon, 2017 ), it is necessary to consider what it means when the ideals of ‘good performance’ are programmed into devices which then demand conformity with norms and adherence to these pre-set standards (…”
BackgroundInfluential‘Personal Health Surveillance’: The Use of mHealth in Healthcare Responsibilisation
Davies, B. (2021) · Public Health Ethics · doi:10.1093/phe/phab013 · Cited by 26 · see citing works
“behaviours more easily (Sharon, 2017): wearable tech-”
BackgroundEmpowerment through health self-testing apps? Revisiting empowerment as a process
Kapeller, A., & Loosman, I. (2023) · Medicine Health Care and Philosophy · doi:10.1007/s11019-022-10132-w · Cited by 28 · see citing works
Increasing mobile health application usage among Generation Z members: evidence from the UTAUT model
Aydın, G. (2023) · International Journal of Pharmaceutical and Healthcare Marketing · doi:10.1108/ijphm-02-2021-0030 · Cited by 33 · see citing works
Meyer, J., Kay, J., Epstein, D. A., et al. (2020) · ACM Transactions on Computing for Healthcare · doi:10.1145/3373719 · Cited by 27 · see citing works
“Applications for long-term tracking: There are numerous new potential applications for long-term tracking beyond behavior support, such as early-warning systems identifying slow changes, or supporting decisions in situations of change, based on past experiences [5].”
BackgroundHepp, A. (2020) · International Journal of Cultural Studies · doi:10.1177/1367877920922867 · Cited by 27 · see citing works
Tomičić, A., Malešević, A., & Čartolovni, A. (2022) · Science and Engineering Ethics · doi:10.1007/s11948-021-00354-1 · Cited by 27 · see citing works
“The specific know-how and practices developed by individuals or communities using connected objects have also received little attention in the literature outside of the Quantified Self movement or digitally skilled individuals or communities (Sharon, 2017).”
BackgroundDigital self-tracking, habits and the myth of discontinuance: It doesn’t just ‘stop’
Clark, M., Southerton, C., & Driller, M. W. (2022) · New Media & Society · doi:10.1177/14614448221083992 · Cited by 26 · see citing works
“Our findings support earlier research highlighting the importance of the body and its senses in processes of meaning-making as students engaged with, responded to and interpreted their personalized data (Lupton, 2017a; Lupton et al., 2018b; Lupton and Maslen, 2018; Sharon, 2017).”
ResultAmbivalences in Digital Contraception: Designing for Mixed Feelings and Oscillating Relations
Park, J. Y., Woytuk, N. C., Yadav, D., Huang, X., Cardozo, R. B., Felice, M. C., Lampinen, A., & Balaam, M. (2023) · Designing Interactive Systems Conference · doi:10.1145/3563657.3596062 · Cited by 27 · see citing works
“Numerous interdisciplinary works have covered positive and negative afective dimensions of self-tracking technologies [54–56, 58, 59, 65, 78, 85].”
BackgroundInfluentialGarcia-Marcos, C. J., Vargas, O. L., & Almenara, J. C. (2020) · Revista de Educación a Distancia (RED) · doi:10.6018/red.400071 · Cited by 27 · see citing works
“Actualmente, la aplicación de esta tecnología se ha popularizado en ámbitos diferentes al de la educación, como es, por ejemplo, la salud (Sharon, 2017; Shin & Biocca, 2017).”
BackgroundThe Data-Based Self: Self-Quantification and the Data-Driven (Good) Life
Schüll, N. D. (2019) · Social research · doi:10.1353/sor.2019.0050 · Cited by 27 · see citing works
“Quantification “rarely produces a definitive truth, a one-to-one representation of one’s life or one’s identity” (Sharon 2017); instead, it involves a “situated objectivity” (Pantzar and Ruckenstein 2017) in which certain prior experiences, understandings, and shared expectations come to matter.”
BackgroundShih, P., Prokopovich, K., Degeling, C., Street, J., & Carter, S. M. (2022) · Social Science & Medicine · doi:10.1016/j.socscimed.2022.114954 · Cited by 25 · see citing works
Epistemic solidarity in medicine and healthcare
Pot, M. (2022) · Medicine Health Care and Philosophy · doi:10.1007/s11019-022-10112-0 · Cited by 26 · see citing works
Health Promotion for Childhood Obesity: An Approach Based on Self-Tracking of Data
del Río, N. G., González, C. S. G., Toledo, P., Muñoz, V., & García‐Peñalvo, F. J. (2020) · Sensors · doi:10.3390/s20133778 · Cited by 25 · see citing works
Turchioe, M. R., Burgermaster, M., Mitchell, E. G., Desai, P. M., & Mamykina, L. (2020) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2020.103572 · Cited by 22 · see citing works
“”[53] Previous research has also noted that high perceived control is common among in the Quantified Self community[54] and others who self-monitor for health self-management.”
BackgroundEnhancing healthcare data privacy and interoperability with federated learning
Akhmetov, A., Latif, Z., Tyler, B., & Yazıcı, A. (2025) · PeerJ Computer Science · doi:10.7717/peerj-cs.2870 · Cited by 27 · see citing works
“Sharon (2017) studies how self-tracking devices can be used for individual health management and raise ethical concerns.”
Snell, K. (2019) · Cambridge Quarterly of Healthcare Ethics · doi:10.1017/s0963180119000057 · Cited by 23 · see citing works
- Authors
- Sharon, T.
- Affiliations
- Maastricht University (NL)
- Corresponding author
- Sharon, Tamar
- ORCID
- Sharon, Tamar
- Venue
- Philosophy & Technology
- Published
- 2016-04-18
- Volume
- 30
- Issue
- 1
- Pages
- 93-121
- ISSN
- 2210-5433 (ISSN-L)
- 2210-5441
- OpenAlex
- W2336246624
- Semantic Scholar
- e89806c2aa8bd4f6c425984beb8f61cd3d448cd8
- Cited by
- 428
- References
- 90
- Citations by year
- 2026: 30 · 2025: 37 · 2024: 48 · 2023: 66 · 2022: 60 · 2021: 57 · 2020: 50 · 2019: 36 · 2018: 27 · 2017: 17
- FWCI
- 26.44
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Philosophy & Technology (publishedVersion, cc-by)
- Research Publications (Maastricht University) (publishedVersion, cc-by)
- Radboud Repository (Radboud University) (submittedVersion)
- Research Publications (Maastricht University) (submittedVersion, other-oa)
- Funders
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (275-20-050)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Ethics and bioethics in healthcare
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- self-tracking, quantified self, personalized healthcare, autonomy, solidarity, authenticity, practice-oriented approach, clinical decision-making
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