ePsychology: Designing Theory-Based Health Promotion Interventions
Open accessAbstract
Persuasive technologies pervade much of our everyday lives today in areas from marketing to public health. In the latter case, persuasive technology represents a promising area of application. However, we know much too little about how to design effective interventions to support sustained behaviour change and improved well-being. The purpose of the present paper was to contribute in two ways. First, we want to contribute to current practice in designing such interventions. Second, we try to identify key research questions that could be a point of departure for a more detailed and comprehensive future research program. We do this by means of expressing 28 propositions. In sum, the propositions reflect that the construction of digital interventions should be seen as an iterative process which should take into account both content and design factors. However, we argue that intervention research and practical design experience is not just something that follows basic research at a polite distance, but rather is its inherent complement.
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Mamma Mia is similar to previous eHealth programs in delivery methods and information architecture, and thus represents a well-tested approach to treatment.
“In terms of delivery methods and information architecture, Mamma Mia is similar to previous eHealth programs, and thus represents a well-tested approach to treatment [31-34].”
From Mamma mia: A feasibility study of a web-based intervention to reduce the risk of postpartum depression and enhance subjective well-being (2013) · cites this paper as [31]
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Portnoy, D. B., Scott‐Sheldon, L. A. J., Johnson, B. T., & Carey, M. P. (2007) · OpenCommons - UConn (University of Connecticut) · Cited by 46 · see citing works
Meditation and Positive Psychology
Shapiro, S. L., SCHWARTZ, G. E. R., & Santerre, C. (2001) · doi:10.1093/oso/9780195135336.003.0046 · Cited by 42 · see citing works
A statistical reasoning system for medication prompting
Vurgun, S., Philipose, M., & Pavel, M. (2007) · doi:10.5555/1771592.1771593 · Cited by 40 · see citing works
Dynamic Modeling: An Introduction
Huckfeldt, R., Kohfeld, C. W., & Likens, T. W. (1982) · Cited by 40 · see citing works
Promoting Treatment Adherence: A Practical Handbook for Health Care Providers
Petzel, J. B. (2007) · Psychiatric Services · doi:10.1176/appi.ps.58.10.1377 · Cited by 33 · see citing works
A Statistical Reasoning System for Medication Prompting
Vurgun, S., Philipose, M., & Pavel, M. (2007) · Springer eBooks · doi:10.1007/978-3-540-74853-3_1 · Cited by 31 · see citing works
Boca, F. K. D., & Darkes, J. (2007) · Addiction · doi:10.1111/j.1360-0443.2007.01863.x · Cited by 24 · see citing works
Boca, F. K. D., & Darkes, J. (2007) · Addiction · doi:10.1111/j.1360-0443.2007.01862.x · Cited by 20 · see citing works
The message within the role of subjective experience in social cognition and behavior
Bless, H. (2000) · Cited by 14 · see citing works
Morbid obesity: the value of surgical intervention
Albert, M. (2002) · Clinics in Family Practice · doi:10.1016/s1522-5720(02)00015-6 · Cited by 13 · see citing works
Flagged first, then by citations
8 of the 136 references couldn’t be matched to a known paper.
Cited by
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A foundation for the study of behavior change support systems
Oinas-Kukkonen, H. (2013) · Personal and Ubiquitous Computing · doi:10.1007/s00779-012-0591-5 · Cited by 433 · see citing works
Unfreezing change as three steps: Rethinking Kurt Lewin’s legacy for change management
Cummings, S. P., Bridgman, T. N., & Brown, K. G. (2015) · Human Relations · doi:10.1177/0018726715577707 · Cited by 413 · see citing works
Mobile Sensing and Support for People With Depression: A Pilot Trial in the Wild
Wahle, F., Kowatsch, T., Fleisch, E., Rufer, M., & Weidt, S. (2016) · JMIR mHealth and uHealth · doi:10.2196/mhealth.5960 · Cited by 333 · see citing works
Alahäivälä, T., & B, H. O.-K. A. (2016) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2016.02.006 · Cited by 188 · see citing works
Behavior Change Support Systems: A Research Model and Agenda
B, H. O.-K. A. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-13226-1_3 · Cited by 186 · see citing works
Haga, S. M., Drozd, F., Brendryen, H., & Slinning, K. (2013) · JMIR Research Protocols · doi:10.2196/resprot.2659 · Cited by 84 · see citing works
Self-citationRethinking Health: ICT-Enabled Services to Empower People to Manage Their Health
Honka, A. M., Kaipainen, K., Hietala, H., & Saranummi, N. (2011) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2011.2174217 · Cited by 89 · see citing works
(Inter)personal Computing: The Role of the Therapeutic Relationship in E-mental Health
Cavanagh, K., & Millings, A. (2013) · Journal of Contemporary Psychotherapy · doi:10.1007/s10879-013-9242-z · Cited by 88 · see citing works
Litvin, E. B., Abrantes, A. M., & Brown, R. A. (2012) · Addictive Behaviors · doi:10.1016/j.addbeh.2012.09.003 · Cited by 86 · see citing works
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“Maintaining the change efforts over time and coping adaptively with challenging situations are key factors to successful behavior change [55-71 , 109 ].”
Behavior change support systems: the next frontier for web science
B, H. O.-K. A. (2010) · Cited by 40 · see citing works
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Kraft, P., & Yardley, L. (2009) · Psychology & Health · doi:10.1080/08870440903068581 · Cited by 37 · see citing works
Self-citationBrendryen, H., Kraft, P., & Schaalma, H. (2010) · Journal of Smoking Cessation · doi:10.1375/jsc.5.1.29 · Cited by 38 · see citing works
Self-citationActual Persuasiveness: Impact of Personality, Age and Gender on Message Type Susceptibility
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Gamification in Health Care Management: Systematic Review of the Literature and Research Agenda
Sánchez, A., Murillo‐Zamorano, L. R., Sánchez, J. Á. L., & Muñoz, C. B. (2023) · SAGE Open · doi:10.1177/21582440231218834 · Cited by 37 · see citing works
Ciocarlan, A., Masthoff, J., & Oren, N. (2018) · ACM Conference on User Modeling, Adaptation and Personalization (UMAP) · doi:10.1145/3209219.3209233 · Cited by 22 · see citing works
Understanding how gamification influences consumers’ dietary preferences
Aydın, S. Ö., & Argan, M. (2021) · Journal of Social Marketing · doi:10.1108/jsocm-09-2019-0137 · Cited by 23 · see citing works
Treating Depression with a Behavior Change Support System without Face-to-Face Therapy
Kuonanoja, L., Langrial, S. U., Lappalainen, R. I., Lappalainen, P., & B, H. O.-K. A. (2015) · AIS Transactions on Human-Computer Interaction · doi:10.17705/1thci.00072 · Cited by 20 · see citing works
Persuasion: An Analysis and Common Frame of Reference for IS Research
Slattery, P., Vidgen, R. T., & Finnegan, P. (2020) · Communications of the Association for Information Systems · doi:10.17705/1cais.04603 · Cited by 19 · see citing works
Increasing engagement with computerised cognitive behavioural therapies
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The outcomes and the mediating role of the functional triad: The users' perspective
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A Gamified Solution to Brief Interventions for Nightlife Well-Being
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Kindness is contagious: Exploring engagement in a gamified persuasive intervention for wellbeing
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MUTABILITY MATTERS: BASELINING THE CONSEQUENCES OF DESIGN
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Towards a Design Theory for IS Services Enabling Incentive-based Health Promotion in Organizations
Kowatsch, T., & Kehr, F. (2014) · Alexandria (UniSG) (University of St.Gallen) · Cited by 1 · see citing works
Lewinian Limits: A Foucauldian Analysis of Kurt Lewin's representation in change management
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B, H. O.-K. A., Li, Z., Enwald, H., Huotari, M., Ahola, R., Jämsä, T. J., Keinanen-Kiukaanniemi, S. M., Leppäluoto, J., & Herzig, K. (2019) · Lecture notes in information systems and organisation · doi:10.1007/978-3-030-28144-1_35
- Authors
- Kraft, P., Drozd, F., & Olsen, E.
- Affiliations
- University of Oslo (NO)
- Corresponding author
- Kraft, Pål
- Venue
- Communications of the Association for Information Systems
- Publisher
- Association for Information Systems
- Published
- 2009
- Volume
- 24
- ISSN
- 1529-3181 (ISSN-L)
- OpenAlex
- W192890814
- Cited by
- 33
- References
- 136
- Citations by year
- 2023: 1 · 2021: 2 · 2020: 1 · 2019: 2 · 2018: 2 · 2017: 1 · 2016: 4 · 2015: 4 · 2014: 2 · 2013: 6 · 2012: 2
- FWCI
- 3.14
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Communications of the Association for Information Systems (publishedVersion)
- Journal of the Association for Information Systems (submittedVersion)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- persuasive technology, health promotion interventions, digital interventions, behavior change, intervention design, theory-based design, iterative design, well-being, research propositions
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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