The DOI matches its Crossref record; 46 of the 47 references it cites were found in a registry or an index; 1 of the 59 sources its claims cite were checked for support.
The effects of smartphones on well-being: theoretical integration and research agenda
Abstract
As smartphones become ever more integrated in people's lives, a burgeoning new area of research has emerged on their well-being effects. We propose that disparate strands of research and apparently contradictory findings can be integrated under three basic hypotheses, positing that smartphones influence well-being by (1) replacing other activities (displacement hypothesis), (2) interfering with concurrent activities (interference hypothesis), and (3) affording access to information and activities that would otherwise be unavailable (complementarity hypothesis). Using this framework, we highlight methodological issues and go beyond net effects to examine how and when phones boost versus hurt well-being. We examine both psychological and contextual mediators and moderators of the effects, thus outlining an agenda for future research.
Overview
AI snapshot
Written from the paper’s full text.
TL;DR
The paper proposes a displacement–interference–complementarity (D.I.C.) framework to integrate contradictory findings on how smartphones affect well-being, arguing that phones can both hurt and boost well-being depending on when and how they are used. It concludes that net effects are typically small to negligible but can become substantial with heavy, problematic use, and it calls for experimental and objective-measurement research.
Key findings
- Screen time predicts slightly lower well-being across large representative adolescent samples, but the net negative effect is small and non-linear: some screen time is better than none, while heavy use is worse. One cited study found screen media use accounted for only 0.4% of variance in well-being; another found adolescents spending 5+ hours/day on digital screens were twice as likely as light users to have attempted suicide.
- Self-reported phone use is imprecise and biased: subjective estimates of average screen time share as little as 10% variance with objective measures; light users tend to overestimate and heavy users underestimate. Frequency and time of phone use are distinct, sharing only about 10%–15% variance; people check phones about 50 times/day, usually just over a minute at a time, with only 5% of instances lasting longer than 10 minutes.
- Interference effects are supported by a 14-day field experiment in which batching notifications three times daily made users happier and less stressed, mediated by improved subjective quality of attention. Mere-presence effects on social connection remain uncertain: one small study found effects for meaningful but not casual topics, but a replication failed, and both studies were likely underpowered (Ns < 100).
- Complementarity effects show phones can boost well-being when they afford otherwise unavailable information, communication, or comfort—for example, after social exclusion, phone access reduced salivary alpha-amylase reactivity in a 148-participant experiment, and phone use provided comfort in stressful situations.
Methods
- Design: theoretical integration and research agenda, not a new empirical study; the authors synthesize disparate findings into three hypotheses—displacement, interference, and complementarity—and present a D.I.C. framework in Table 1.
- Data: review focuses on research published since 2018, drawing on earlier work when needed; cited evidence includes large representative adolescent samples, experience-sampling and objective usage-tracking studies, field experiments, and lab experiments.
- Analysis: conceptual review and framework development, specifying primary predictors, mediators/mechanisms, and moderators/interactions for each hypothesis; no formal meta-analysis or new data collection is reported.
Limitations
- Stated: correlational findings need experimental tests for causal conclusions; measurement must distinguish screen time, frequency of use, notifications, and mere presence, and move beyond imprecise, biased self-reports to objective measures obtained over multiple days via mobile sensing.
- Stated: research needs to focus more on when multifunctional devices are beneficial versus detrimental; the authors describe their conclusions as “(very) preliminary,” and note that mere-presence studies were likely underpowered (Ns < 100).
- Evident: as a review and agenda-setting article, it does not provide new empirical tests of the D.I.C. framework, and its integration relies on selected findings rather than a systematic meta-analytic synthesis.
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Claims the paper makes
32 Not checked yet · 23 Own interpretation · 1 Partly supported · accuracy not yet measured
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Greater immersion in video gaming, for example, can magnify the emotional effects of gaming [28].”
What the sources say
- Partly supportedcites [28] [28]. Przybylski AK, Weinstein N, Murayama K, Lynch MF, Ryan RM: The ideal self at play: The appeal of video games that let you be all you can be. Psychol Sci 2012, 23: 69-76. https://doi.org/10.1177/0956797611418676 - sourceExperimental — accuracy not yet measured
The “Moderation by immersion” section reports that greater immersion amplified the link between experiencing one's ideal self during play and intrinsic motivation. The “Postplay affect” section links ideal-self experience to emotion, but does not show that immersion magnified those emotional effects. The claim combines two findings into a relationship the paper does not establish. (LLM, conf=0.86)
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Partly supported
None of the sources cited for this claim have been checked yet.
In the paper
“Importantly, these studies also show that this net negative effect is small and that the relationship is not linear: People who spend some time in front of screens feel better than those who spend no time, but heavy users feel notably worse [5, 6*].”
What the sources say
- Not checked yetcites [5] [5]. Przybylski AK, Weinstein N: A large-scale test of the goldilocks hypothesis: Quantifying the relations between digital-screen use and the mental well-being of adolescents. Psychol Sci 2017, 28: 204-215. https://doi.org/10.1177/0956797616678438 - source
- Not checked yetcites [6*]
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“Importantly, these studies also show that this net negative effect is small and that the relationship is not linear: People who spend some time in front of screens feel better than those who spend no time, but heavy users feel notably worse [5, 6*].”
What the sources say
- Not checked yetcites [5] [5]. Przybylski AK, Weinstein N: A large-scale test of the goldilocks hypothesis: Quantifying the relations between digital-screen use and the mental well-being of adolescents. Psychol Sci 2017, 28: 204-215. https://doi.org/10.1177/0956797616678438 - source
- Not checked yetcites [6*]
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“People's subjective estimates of their average screen time share as little as 10% variance with their actual screen time when measured objectively [9].”
What the sources say
- Not checked yetcites [9] [9]. Araujo T, Wonneberger A, Neijens P, de Vreese C: How much time do you spend online? Understanding and improving the accuracy of self-reported measures of internet use. Commun Methods Meas 2017 , 11: 173-190. https://doi.org/10.1080/19312458.2017.1317337 - source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“Importantly, these studies also show that this net negative effect is small and that the relationship is not linear: People who spend some time in front of screens feel better than those who spend no time, but heavy users feel notably worse [5, 6*].”
What the sources say
- Not checked yetcites [5] [5]. Przybylski AK, Weinstein N: A large-scale test of the goldilocks hypothesis: Quantifying the relations between digital-screen use and the mental well-being of adolescents. Psychol Sci 2017, 28: 204-215. https://doi.org/10.1177/0956797616678438 - source
- Not checked yetcites [6*]
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Thus, even when phone use is not replacing other activities, phones can still interfere with concurrent activities (Table 1).”
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- The authors state this as an assumption: The net effects of phones on well-being at any given time depend on the well-being people gain by using their phones minus the well-being they would have gained had they not used their phones.
None of the sources cited for this claim have been checked yet.
In the paper
“Across large representative samples of adolescents, researchers have consistently found that more self-reported screen time-on all devices, digital devices only, and phones more specifically-predicts slightly lower well-being [4*,5,6*,7,8].”
What the sources say
- Not checked yetcites [4*]
- Not checked yetcites [5] [5]. Przybylski AK, Weinstein N: A large-scale test of the goldilocks hypothesis: Quantifying the relations between digital-screen use and the mental well-being of adolescents. Psychol Sci 2017, 28: 204-215. https://doi.org/10.1177/0956797616678438 - source
- Not checked yetcites [6*]
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“From this perspective, smartphones can negatively impact well-being primarily by reducing the time we spend doing other activities that are essential for well-being, such as sleeping [18,19,20] or socializing [21].”
What the sources say
- Not checked yetcites [18] [18]. Christensen MA, Bettencourt L, Kaye L, Moturu ST, Nguyen KT, Olgin JE, Pletcher MJ, Marcus GM: Direct measurements of smartphone screen-time: Relationships with demographics and sleep . PLoS ONE 2016 , 11: 1-14. https://doi.org/10.1371/journal.pone.0165331 - source
- Not checked yetcites [19] [19]. Lanaj K, Johnson RE, Barnes CM: Beginning the workday yet already depleted? Consequences of late-night smartphone use and sleep. Organ Behav Hum Decis Process 2014, 124 :11-23. https://doi.org/10.1016/j.obhdp.2014.01.001 - source
- Not checked yetcites [20] [20]. Rosen L, Carrier LM, Miller A, Rokkum J, Ruiz A: Sleeping with technology: Cognitive, affective, and technology usage predictors of sleep problems among college students. Sleep Health 2016, 2: 49-56. https://doi.org/10.1016/j.sleh.2015.11.003 - source
- Not checked yetcites [21] [21]. Waytz A, Gray K: Does online technology make us more or less sociable? A preliminary review and call for research. Perspect Psychol Sci 2018 , 13: 473-491. https://doi.org/10.1177/1745691617746509 - source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Even if we measured phone screen time more precisely, however, we would still get an incomplete picture of the effects of smartphones on well-being.”
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“According to the interference hypothesis [24,25], the frequency of phone use is critical for understanding the effects of smartphones on well-being (Table 1).”
What the sources say
- Not checked yetcites [24] [24]. Kushlev K, Dwyer R, Dunn EW: The social price of constant connectivity: Smartphones impose subtle costs on well-being. Curr Dir Psychol Sci 2019 , 28: 347352. https://doi.org/10.1177/0963721419847200 - source
- Not checked yetcites [25] [25]. Sbarra DA, Briskin JL, Slatcher RB: Smartphones and close relationships: The case for an evolutionary mismatch. Perspect Psychol Sci 2019 , 14: 596-618. https://doi.org/10.1177/1745691619826535 - source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- The authors state this as an assumption: The net effects of phones on well-being at any given time depend on the well-being people gain by using their phones minus the well-being they would have gained had they not used their phones.
- Probably not a substantial claim. 10
- It may state two separate claims as one. 12
None of the sources cited for this claim have been checked yet.
In the paper
“According to the displacement hypothesis [16], screen time-regardless of whether it is on a desktop, TV, or phone-influences psychological outcomes by replacing other activities (c.f., Bowling Alone ; [17]).”
What the sources say
- Not checked yetcites [16] [16]. Neuman SB: The displacement effect: Assessing the relation between television - viewing and reading performance. Read Res Q 1988 , 23: 414-440. https://doi.org/10.2307/747641 - source
- Not checked yetcites [17] [17]. Putnam RD: Bowling alone: America's declining social capital. J Democr 1995 , 6: 6578. https://doi.org/10.1353/jod.1995.0002 - source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
- The authors state this as an assumption: The net effects of phones on well-being at any given time depend on the well-being people gain by using their phones minus the well-being they would have gained had they not used their phones.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We suggest that we cannot draw either of those conclusions based solely on correlational analyses of self-reported screen time.”
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Thus, though positively related, frequency and time of phone use are distinct variables, estimated to share only about 10%-15% variance [12**,13**].”
What the sources say
- Not checked yetcites [12**]
- Not checked yetcites [13**]
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Such measurement error, which depends on the construct measured, may change both the size of the effects and the shape of the relationship.”
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We propose that disparate strands of research and apparently contradictory findings can be integrated under three basic hypotheses, positing that smartphones influence well-being by (1) replacing other activities ( displacement hypothesis ), (2) interfering with concurrent activities ( interference hypothesis ), and (3) affording access to information and activities that would otherwise be unavail”
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Thus, we must formulate a final complementarity hypothesis : Smartphones can boost well-being by affording access to information, communication, and experiences that would otherwise be unavailable.”
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
In the paper
“People check their phones frequently, an estimated 50 times a day, but they only spend a little over a minute on their phones at a time with only 5% of instances lasting longer than 10 minutes [15].”
What the sources say
- Not checked yetcites [15] [15]. MacKay J: Screen time stats 2019: Here's how much you use your phone during the workday. 2019. [Accessed April 24 2020] In: https://blog.rescuetime.com/screen-timestats-2018/ -
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We propose that researchers' contradictory conclusions about the well-being effects of phones are largely due to methodological issues and can be integrated under an overarching theoretical framework by considering when, how, and why phones promote versus hurt wellbeing.”
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: unclear — It is unclear why the paper says it holds.
It may state two separate claims as one.
In the paper
“Furthermore, light users tend to overestimate their screen time, whereas heavy users tend to underestimate their screen time [9].”
What the sources say
- Not checked yetcites [9] [9]. Araujo T, Wonneberger A, Neijens P, de Vreese C: How much time do you spend online? Understanding and improving the accuracy of self-reported measures of internet use. Commun Methods Meas 2017 , 11: 173-190. https://doi.org/10.1080/19312458.2017.1317337 - source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Smartphones can and do provide benefits for well-being, but those benefits depend on people's current emotional experience, the contextual affordances, and the relevance of their phone use to current goals and activities (Table 1).”
plainconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We have proposed an overarching displacement-interference-complementarity (D.I.C.) theoretical framework (Table 1), which integrates apparently contradictory findings by considering how, when, and why phones impact well-being.”
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
In the paper
“Having one's phone within easy reach does not directly impair people's ability to sustain attention, but it does impair cognitive capacity, such as working memory [33].”
What the sources say
- Not checked yetcites [33] [33]. Ward AF, Duke K, Gneezy A, Bos MW: Brain drain: The mere presence of one's own smartphone reduces available cognitive capacity. J Assoc Consum Res 2017, 2: 140154. https://doi.org/10.1086/691462 -
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In contrast, the interference hypothesis predicts that phones will influence well-being to the extent that they distract people from other concurrent activities.”
plainconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
- The authors state this as an assumption: The net effects of phones on well-being at any given time depend on the well-being people gain by using their phones minus the well-being they would have gained had they not used their phones.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Based on the interference hypothesis, we can predict that the mere presence of one's phone should only interfere with one's ability to enjoy cognitively demanding activities (e.g., a deep conversation), but not simpler pleasures (e.g., a beautiful sunset).”
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may state two separate claims as one.
- The authors state this as an assumption: The net effects of phones on well-being at any given time depend on the well-being people gain by using their phones minus the well-being they would have gained had they not used their phones.
In the paper
“Indeed, although phone-mediated communication, such as text messaging, predicts lower well-being outcomes when people are concurrently socializing face-to-face, phone-mediated communication has little effect on well-being when people are alone [40].”
What the sources say
- Not checked yetcites [40] [40]. Kushlev K, Heintzelman SJ: Put the phone down: Testing a complement-interfere model of computer-mediated communication in the context of face-to-face interactions. Soc Psychol Personal Sci 2018, 9 :702-710. https://doi.org/10.1177/1948550617722199 - source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Recent research has suggested that even the mere presence of one's smartphone can impair basic cognitive processes [32,33].”
What the sources say
- Not checked yetcites [32] [32]. Canale N, Vieno A, Doro M, Rosa Mineo E, Marino C, Billieux J: Emotion-related impulsivity moderates the cognitive interference effect of smartphone availability on working memory. Sci Rep 2019, 9: 18519. https://doi.org/10.1038/s41598-019-54911-7 - source
- Not checked yetcites [33] [33]. Ward AF, Duke K, Gneezy A, Bos MW: Brain drain: The mere presence of one's own smartphone reduces available cognitive capacity. J Assoc Consum Res 2017, 2: 140154. https://doi.org/10.1086/691462 -
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Finally, because the D.I.C. framework is formulated around the distinguishing factor of smartphones-their portability-the framework can easily be applied to the increasingly portable technologies of the future.”
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may be too vague to check against evidence.
In the paper
“Consistent with these predictions, a small study found that the mere presence of a mobile phone during a dyadic social interaction, prevented people from cultivating a sense of social connection, trust, and empathy when discussing a meaningful topic but not when discussing a more casual topic: plastic holiday trees [34].”
What the sources say
- Not checked yetcites [34] [34]. Przybylski AK, Weinstein N: Can you connect with me now? How the presence of mobile communication technology influences face-to-face conversation quality. J Soc Pers Relat 2012, 30: 237-246. https://doi.org/10.1177/0265407512453827 - source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“- 3) The net effects of phones on well-being are typically small to negligible but become substantial with heavy, problematic (over)use (i.e., use that is likely to displace or interfere with other activities).”
plainconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: unclear — It is unclear why the paper says it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Thus, the displacement hypothesis suggests that attention should moderate the relationship between screen time and well-being.”
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
- The authors state this as an assumption: The net effects of phones on well-being at any given time depend on the well-being people gain by using their phones minus the well-being they would have gained had they not used their phones.
In the paper
“While not as impactful as talking with somebody in person, receiving social support via text message is better for well-being than receiving no support at all [38].”
What the sources say
- Not checked yetcites [38] [38]. Holtzman S, DeClerck D, Turcotte K, Lisi D, Woodworth M: Emotional support during times of stress: Can text messaging compete with in-person interactions? Comput Human Behav 2017, 71: 130-139. https://doi.org/10.1016/j.chb.2017.01.043 - source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The authors state this as an assumption.
The net effects of phones on well-being at any given time depend on the well-being people gain by using their phones minus the well-being they would have gained had they not used their phones.
“The displacement and interference hypotheses both assume that the net effects of phones on well-being, at any given time, will depend on the well-being people gain by using their phones, minus the well-being that people would have gained had they not used their phones.”
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?
In the citing paper
“This perspective aligns with the displacement hypothesis, which posits that time spent on social media may have detrimental effects by displacing activities that are beneficial to well-being and health—for example, sleep, exercise, or face-to-face interactions.7,26”
From Social Media Use and Its Link to Physical Health Indicators (2022) · cites this paper as [26]
Citations
Cites
Bowling Alone: America's Declining Social Capital
Putnam, R. D. (1995) · Journal of Democracy · doi:10.1353/jod.1995.0002 · Cited by 14,037
Flow: the psychology of optimal experience
(1990) · Choice Reviews Online · doi:10.5860/choice.28-0597 · Cited by 12,654
Flow: The Psychology of Optimal Experience
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Perceiving, Acting and Knowing
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The association between adolescent well-being and digital technology use
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Experience Sampling Method: Measuring the Quality of Everyday Life
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The common sense census: media use by tweens and teens
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Brain Drain: The Mere Presence of One’s Own Smartphone Reduces Available Cognitive Capacity
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Research works printed but not linked: 1
- Simonsohn, 2014, 5, e142559
Cited by
Sorted by citations
Godard, R., & Holtzman, S. (2023) · Journal of Computer-Mediated Communication · doi:10.1093/jcmc/zmad055 · Cited by 171
Marinucci, M., Pancani, L., Aureli, N., & Riva, P. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.107102 · Cited by 119
A Nudge-Based Intervention to Reduce Problematic Smartphone Use: Randomised Controlled Trial
Olson, J. A., Sandra, D. A., Chmoulevitch, D., Raz, A., & Veissière, S. P. L. (2022) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-022-00826-w · Cited by 115
“Problematic smartphone use may have negative consequences because it replaces or interferes with activities that increase well-being, such as sleeping, exercising, or (in-person) socialising (Kushlev & Leitao, 2020).”
BackgroundResultAbeele, M. V., Vandebosch, H., Koster, E. H. W., Leyn, T. D., Gaeveren, K. V., Vicente, D. D. S., Bruyssel, S. V., van Timmeren, T., Marez, L. D., Poels, K., et al. (2023) · Communication Theory · doi:10.1093/ct/qtad016 · Cited by 97
Gui, M., Gerosa, T., Argentin, G., & Losi, L. (2022) · Computers & Education · doi:10.1016/j.compedu.2022.104705 · Cited by 83
Social Media Use and Its Link to Physical Health Indicators
Lee, D. S., Jiang, T., Crocker, J., & Way, B. M. (2022) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2021.0188 · Cited by 53
“7,26 Second, several scholars contend that hyperconnectivity— the permanent availability of and connectivity to peers, media content, and online services through social media—can increase stress.”
Holtzman, S., Kushlev, K., Wozny, A., & Godard, R. J. P. (2021) · Journal of Social and Personal Relationships · doi:10.1177/02654075211043296 · Cited by 51
“These results support electronic propinquity theory (Korzenny, 1978), which proposes that CMC will result in more positive outcomes when partners lack alternative means of communicating (c.f., Kushlev & Leitao, 2020; Kushlev et al., 2019).”
BackgroundResultSelf-citationSteinsbekk, S., Nesi, J. L., & Wichstrøm, L. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2023.107859 · Cited by 66
“In many cases, social media seems to complement rather than displace in-person interactions (Hall & Liu, 2022; Kushlev & Leitao, 2020; Requena & Ayuso, 2019); prospectively predicting more face-to-face interactions (Dienlin, Masur, & Trepte, 2017) and social capital (Hooghe & Oser, 2015).”
BackgroundTibbetts, M., Epstein-Shuman, A., Leitao, M., & Kushlev, K. (2021) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2021.100133 · Cited by 52
Self-citationLi, X., & Chan, M. (2021) · Behaviour and Information Technology · doi:10.1080/0144929x.2021.1929489 · Cited by 43
“Third, while the effects of smartphone on well-being appear to be small to negligible (Kushlev and Leitao 2020), the mechanism that people use and perceive media effects would be important to understand their well-being outcomes.”
BackgroundDigital Strategies for Screen Time Reduction: A Randomized Field Experiment
Zimmermann, L., & Sobolev, M. (2023) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2022.0027 · Cited by 37
“53 Passive scrolling or phone checking at night might be especially problematic.”
Castelo, N., Kushlev, K., Ward, A. F., Esterman, M. S., & Reiner, P. B. (2025) · PNAS Nexus · doi:10.1093/pnasnexus/pgaf017 · Cited by 47
“While other devices, such as laptops or tablets, can also displace activities and distract users, smartphones are uniquely portable and therefore pervasive throughout daily life (42).”
Self-citationThe effects of fragmented and sticky smartphone use on distraction and task delay
Siebers, T., Beyens, I., & Valkenburg, P. M. (2023) · Mobile Media & Communication · doi:10.1177/20501579231193941 · Cited by 46
“The displacement theory (Neuman, 1988) argues that media consumption replaces other activities (Kushlev & Leitao, 2020).”
BackgroundXu, C., Park, J., & Lee, J. C. (2021) · Internet Research · doi:10.1108/intr-11-2020-0660 · Cited by 34
Variation in social media sensitivity across people and contexts
Vaid, S. S., Kroencke, L., Roshanaei, M., Talaifar, S., Hancock, J. T., Back, M. D., Gosling, S. D., Ram, N., & Harari, G. M. (2024) · Scientific Reports · doi:10.1038/s41598-024-55064-y · Cited by 43
“For instance, it is possible that using social media around others results in lowered wellbeing as a result of an active interference process 55 , where in people’s attention is divided between their devices and their social company.”
Reduction in Social Media Usage Produces Improvements in Physical Health and Wellbeing: An RCT
Reed, P., Fowkes, T., & Khela, M. (2023) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-023-00304-7 · Cited by 28
“For example, Kushlev and Leitao (2020) propose three mechanisms of SNS influence: firstly, their usage replaces other activities (displacement); secondly, their usage interferes with concurrent activities (interference); but thirdly, their usage may allow access to information and activities that…”
BackgroundInfluentialLay beliefs about meaning in life: Examinations across targets, time, and countries
Heintzelman, S. J., Mohideen, F., Oishi, S., & King, L. A. (2020) · Journal of Research in Personality · doi:10.1016/j.jrp.2020.104003 · Cited by 30
How should we investigate variation in the relation between social media and well-being?Preprint
Johannes, N., Masur, P. K., Vuorre, M., & Przybylski, A. (2021) · Meta-Psychology · doi:10.31234/osf.io/xahbg · Cited by 24
Phubbing and its impact on the individual's psychological well-being
Garrido, E. C., Delgado, S. C., & Esteban, P. G. (2024) · Acta Psychologica · doi:10.1016/j.actpsy.2024.104388 · Cited by 43
Directly-measured smartphone screen time predicts well-being and feelings of social connectedness
Anderl, C., Hofer, M. K., & Chen, F. S. (2023) · Journal of Social and Personal Relationships · doi:10.1177/02654075231158300 · Cited by 36
“…ideas that smartphone use may supplant other activities that could be more socially and emotionally rewarding (displacement hypothesis; reviewed in Kushlev & Leitao, 2020; for similar considerations regarding different technologies prior to the broad adoption of smartphones and empirical tests…”
BackgroundInfluentialThe Origins of BoredomPreprint
Lin, Y., & Westgate, E. C. (2021) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/bz6n8 · Cited by 27
Disturbing aspects of smartphone usage: a qualitative analysis
Ochs, C., & Sauer, J. (2022) · Behaviour and Information Technology · doi:10.1080/0144929x.2022.2129092 · Cited by 25
“However, the results of the few studies that are not cross-sectional seem to corroborate the main pattern of e ff ects by showing a negative impact of smartphone use on well-being rather than vice-versa (Kushlev and Leitao 2020; Ochs and Sauer 2021).”
BackgroundWolfers, L. N., Festl, R., Becker, D., & Utz, S. (2023) · Human Communication Research · doi:10.1093/hcr/hqad001 · Cited by 31
Deters, F. G., & Schoedel, R. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2023.107977 · Cited by 29
Linares, C., & Sellier, A.-L. (2021) · PLoS ONE · doi:10.1371/journal.pone.0251451 · Cited by 23
“Second, even though our sample sizes were much greater than those in Przybylski and Weinstein [12], they may not have provided enough power to detect an effect [77].”
ResultDo we need a digital school uniform? Arguments for and against a smartphone ban in schools
Montag, C., & Elhai, J. D. (2023) · Societal Impacts · doi:10.1016/j.socimp.2023.100002 · Cited by 21
Liu, Q., Yang, X., Zhang, C., & Xiong, J. (2024) · Journal of Behavioral Addictions · doi:10.1556/2006.2024.00034 · Cited by 28
Khan, A. A., & Nasim, S. (2024) · Management Review Quarterly · doi:10.1007/s11301-023-00399-5 · Cited by 23
“From the organization’s point of view, previous research has established that employees who have improved health and well-being contribute a lot to achieving the employers’ goals (Diener et al. 2018; Kushlev and Leitao 2020).”
Ross, M. Q., & Campbell, S. W. (2021) · Review of Communication Research · doi:10.12840/issn.2255-4165.031 · Cited by 18
Khoo, S. S., & Yang, H. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph182413020 · Cited by 20
Cortical surface variation in individuals with excessive smartphone use
Hirjak, D., Henemann, G. M., Schmitgen, M. M., Götz, L., Wolf, N. D., Kubera, K. M., Sambataro, F., Leménager, T., Koenig, J., & Wolf, R. C. (2022) · Developmental Neurobiology · doi:10.1002/dneu.22872 · Cited by 17
Relationship difficulties and “technoference” during the COVID-19 pandemic
Zoppolat, G., Righetti, F., Balzarini, R. N., Alonso-Ferres, M., Urgancı, B., Rodrigues, D. L., Debrot, A., Wiwattanapantuwong, J., Dharma, C., Chi, P., et al. (2022) · Journal of Social and Personal Relationships · doi:10.1177/02654075221093611 · Cited by 22
Walsh, L. C., Regan, A., Okabe‐Miyamoto, K., & Lyubomirsky, S. (2024) · PLoS ONE · doi:10.1371/journal.pone.0306910 · Cited by 18
Gerosa, T., & Gui, M. (2023) · Social Science Research · doi:10.1016/j.ssresearch.2023.102915 · Cited by 23
Bellini, D., Mascia, M. L., Conti, R., & Penna, M. P. (2025) · BMC Public Health · doi:10.1186/s12889-024-21269-z · Cited by 25
“This lack of attention and resulting distraction led to a reduction in psychological well-being mainly because smartphone use, and overuse replaces other activities and disrupt concurrent activities [43] in all spheres of life.”
Gatti, F., & Procentese, F. (2024) · Journal of Community & Applied Social Psychology · doi:10.1002/casp.2862 · Cited by 16
Zhu, X., Niu, H., Zhu, Q., & Chen, W. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1545440 · Cited by 16
“This relationship can be explained by the displacement hypothesis, which suggests that the time spent on physical activity may reduce the time available for mobile phone use, thus decreasing the risk of mobile phone addiction (Xu et al., 2018; Kushlev and Leitao, 2020).”
InfluentialRudert, S. C., & Janke, S. (2022) · British Journal of Social Psychology · doi:10.1111/bjso.12546 · Cited by 15
Psychological perspectives on mobile media: A flyover review
Bayer, J., Reinecke, L., & Abeele, M. M. P. V. (2022) · Mobile Media & Communication · doi:10.1177/20501579221134369 · Cited by 10
“Despite the breadth of the burgeoning literature, there have been increasing attempts to synthesize this wide-ranging work (Bayer et al., 2016; Cumiskey & Ling, 2015; Ellis, 2020; Kushlev & Leitao, 2020; Melumad & Pham, 2020; Ross & Campbell, 2021; Wilmer et al., 2017).”
BackgroundBrockmeier, L. C., Keller, J., Dingler, T., Paduszyńska, N., Łuszczyńska, A., & Radtke, T. (2025) · Computers in Human Behavior · doi:10.1016/j.chb.2025.108624 · Cited by 18
Social Connection when Physically Isolated: Family Experiences in Using Video Calls
Kačāne, I., & Serrano, M. J. H. (2023) · Open Cultural Studies · doi:10.1515/culture-2022-0165 · Cited by 13
Wolfers, L. N., Utz, S., Wendt, R., & Honecker, J. (2023) · Cyberpsychology Journal of Psychosocial Research on Cyberspace · doi:10.5817/cp2023-3-1 · Cited by 20
Tng, G. Y. Q., & Yang, H. (2023) · Behaviour and Information Technology · doi:10.1080/0144929x.2023.2196573 · Cited by 12
“Given that displacement and disruption of these essential activities pose risks to mental health (Kushlev and Leitao 2020), an emerging strand of research has found robust relationships between problematic smartphone use and greater severity of depression; anxiety (Della Vedova et al. 2022; Elhai…”
BackgroundResultInfluentialOnishi, R. (2024) · JMIR Pediatrics and Parenting · doi:10.2196/58757 · Cited by 19
Denecker, F., Marez, L. D., Ponnet, K. S., & Abeele, M. V. (2022) · Mobile Media & Communication · doi:10.1177/20501579221134168 · Cited by 12
“Based on the definition of Kushlev and Leitao (2020), participants were asked to rate perceived displacement on a 5-point Likert scale (1 = never, 5 = very often) by indicating “to what extent they did not interact with their child because they were using their smartphone instead during the past hour” (M = 1.”
Nomofobia y FoMO en el uso del smartphone en jóvenes: el rol de la ansiedad por estar conectado
Sánchez, A. J. B., & Jiménez, M. D. L. V. M. (2023) · African journal of rhetoric · doi:10.21134/haaj.v23i1.707 · Cited by 24
Burnell, K., Fox, K. A., Maheux, A. J., & Prinstein, M. J. (2024) · Current Treatment Options in Psychiatry · doi:10.1007/s40501-024-00311-2 · Cited by 17
“Although active use can result in benefits, it should not displace time spent conversing face-to-face; indeed, much experimental work demonstrates that digital technologies can disrupt face-to-face interactions [67].”
BackgroundPerson-Specific Analyses of Smartphone Use and Mental Health: Intensive Longitudinal Study
Cerit, M., Lee, A. Y., Hancock, J. T., Miner, A. S., Cho, M.-J., Muise, D., Torres, A., Haber, N., Ram, N., Robinson, T. N., et al. (2025) · JMIR Formative Research · doi:10.2196/59875 · Cited by 9
“By prioritizing individual-level insights, this method provides a pathway to more personalized interventions (Multimedia Appendix 1 [2-4,7 This study uses granular longitudinal data collected through the Human Screenome Project [21,51], which recorded smartphone activity every 5 seconds for 1 year,…”
The Association Between Well-Being and Objectively Measured Versus Self-Reported Smartphone TimePreprint
Walsh, L. C., Okabe‐Miyamoto, K., Regan, A., Twenge, J. M., & Lyubomirsky, S. (2021) · doi:10.31234/osf.io/zcwmv · Cited by 8
Smartphones undermine social connectedness more in men than women: A mini mega-analysis.
Leitao, M., Proulx, J. D. E., & Kushlev, K. (2024) · Technology Mind and Behavior · doi:10.1037/tmb0000125 · Cited by 8
Self-citationThe four conceptualizations of social connection
Baek, E. C., Pourafshari, R., & Bayer, J. (2025) · Nature Reviews Psychology · doi:10.1038/s44159-025-00455-9 · Cited by 16
“Conversely, smartphone use has been associated with lower perceived connection during in-person social interactions compared with when smartphones were not used 44,46,50 .”
Telzer, E. H., & Burnell, K. (2026) · JAMA Network Open · doi:10.1001/jamanetworkopen.2026.1092 · Cited by 15
Engaging in the good with technology: a framework for examining positive technology use
Villamil, A., & Heshmati, S. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1175740 · Cited by 24
“There has been a request from researchers, educators, and policymakers to help people flourish with technology (Kushlev and Leitao, 2020; 60 Minutes, 2021; Kamenetz, 2021; Minadeo and Pope, 2022).”
BackgroundGodard, R., & Holtzman, S. (2024) · doi:10.31234/osf.io/stw9n · Cited by 8
Xu, X.-P., Li, H., Bai, R., & Liu, Q. (2024) · Psychology Research and Behavior Management · doi:10.2147/prbm.s487298 · Cited by 8
“32 Conversely, the interference hypothesis of mobile phone use suggests that problematic smartphone use directly disrupts individuals’ cognitive processes and social interactions, potentially fostering negative thinking patterns or interpersonal conflicts, ultimately contributing to the development…”
Kasturiratna, K. T. A. S., Chua, Y. J., & Hartanto, A. (2025) · Mobile Media & Communication · doi:10.1177/20501579251323246 · Cited by 11
“While screentime re fl ects the total time spent on smartphones, often displacing other activities (Kushlev & Leitao, 2020), smartphone checking captures the number of times users shift their attention away from their current tasks (Kushlev et al., 2019).”
Röhlke, L. (2025) · Social Science Research · doi:10.1016/j.ssresearch.2025.103226 · Cited by 7
Lee, D. S., Jiang, T., Crocker, J., & Way, B. M. (2023) · Journal of Medical Internet Research · doi:10.2196/46309 · Cited by 7
“This perspective is consistent with the displacement hypothesis, which argues that SMU may have a negative impact on individuals if the time spent using it displaces health-promoting activities [21,22].”
ResultBrockmeier, L. C., Mertens, L., Roitzheim, C., Radtke, T., Dingler, T., & Keller, J. (2025) · Applied Psychology Health and Well-Being · doi:10.1111/aphw.12646 · Cited by 7
Kılıman, S., Ergün, N., Aslan, A., & Göksu, İ. (2024) · E-Learning and Digital Media · doi:10.1177/20427530241229660 · Cited by 6
“Technoference can also cause anxiety, despondency, and depression even if an individual has a high level of well-being (Kushlev and Leitao, 2020; McDaniel and Drouin, 2019; Wang et al., 2017).”
Chen, Y., Wei, M., & Ortiz, J. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.1085256 · Cited by 6
Lin, Y., & Westgate, E. C. (2024) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780197544754.013.19 · Cited by 5
Prasad, A., & Kadhiravan, S. (2024) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-024-01293-1 · Cited by 6
Onishi, R., Saeki, K., & Hirano, M. (2023) · Current Psychology · doi:10.1007/s12144-023-04817-5 · Cited by 4
“This negative function can be explained by the displacement hypothesis of digital devices (Kushlev & Leitao, 2020).”
Elhai, J. D., & Rozgonjuk, D. (2020) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2020.11.001 · Cited by 5
Liu, Q., Li, J., & Jin, X. (2024) · Cyberpsychology Journal of Psychosocial Research on Cyberspace · doi:10.5817/cp2024-3-4 · Cited by 4
Klingelhoefer, J., Gilbert, A., Adrian, C., & Meier, A. (2025) · Journal of Communication · doi:10.1093/joc/jqaf037 · Cited by 8
Gammoh, O. S., Shannag, S., Al-Jabari, S., Al-Shawaheen, R., Bazi, S., Al‐Smadi, A. M., & Alomari, A. M. A. (2024) · Discover Mental Health · doi:10.1007/s44192-024-00123-z · Cited by 6
“Discover who don’t spend time at all [3].”
Onishi, R., Tone, H., Maruyama, F., Kubota, M., & Chino, N. (2024) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-024-02677-3 · Cited by 7
“According to Kushlev and Leitao (2020), integrating digital devices into daily routines can enhance well-being, providing benefits beyond face-to-face interactions [42].”
The Factors Influencing Compulsive Social Apps and Its Impact on Technostress among Students
Iskandar, Y. H. P. (2021) · Anatolian Journal of Education · doi:10.29333/aje.2021.6215a · Cited by 7
Cocchi, A., Abeele, M. V., Martens, M., Koster, E. H. W., Wever, B. D., & Leyn, T. D. (2025) · Journal of Children and Media · doi:10.1080/17482798.2025.2537765 · Cited by 7
“For instance, wasting time online and being digitally distracted are not mutually exclusive in that digital distractions may lead to spending more time online (Kushlev & Leitao, 2020).”
InfluentialSmartphone Addiction and Its Psychosocial Correlates Among University Students
Alhassan, M. A., Al-Otaibi, E. M., Ofaysan, M. S., Alarjani, K. H., Alzuhairi, M. O., Alarfaj, N. S., Al-Murayt, F. S., Alotaibi, B., Alanazi, K. K., Alfawaz, A. M., et al. (2025) · Cureus · doi:10.7759/cureus.91165 · Cited by 3
Development and validation of the digital well-being scale using university students
Appianing, J., Quansah, F., & Amoako, R. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2026.1853998 · Cited by 5
“The initial item pool was informed by research by Elhai et al. (3), Kushlev and Leitao (4), and Wang et al. (2), together with concepts from SDT (18).”
InfluentialPhillips, R. (2024) · Rural Sociology · doi:10.1111/ruso.12557 · Cited by 3
Did smartphones enhance or diminish well-being during the COVID-19 pandemic?
Heyman, J. L., & Kushlev, K. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1094196 · Cited by 3
“Finally, as the pandemic introduced new stressors, phone displacement might have been beneficial for well-being by displacing more stressful activities (Kushlev and Leitao, 2020) and introducing a welcome source of distraction (Sheppes and Meiran, 2007; Quoidbach et al.”
BackgroundSelf-citationJiang, H.-X., Ding, C., Liu, Y., & Yu, J. (2025) · Geriatric Nursing · doi:10.1016/j.gerinurse.2025.01.035 · Cited by 6
Tiempo en pantallas: implicaciones en la salud mental de los menores de edad
Yepez, V. H., & Vásquez, N. S. M. (2025) · Psicoespacios · doi:10.25057/21452776.1693 · Cited by 4
Gatti, F., Procentese, F., & Schouten, A. P. (2026) · New Media & Society · doi:10.1177/14614448251413287 · Cited by 2
Shida, Q., Yao, D., Bo, L., Zhang, H., & Jiayuan, Z. (2026) · BMC Nursing · doi:10.1186/s12912-026-04461-x · Cited by 2
“For example, Kushlev and Leitao found that frequent smartphone interruptions during learning led to reduced confidence in task performance [17].”
Li, Q.-Y., Ma, S., Ma, A., Chen, Z.-Y., & Fang, X.-Y. (2026) · Asian Journal of Social Psychology · doi:10.1111/ajsp.70094 · Cited by 3
¿Cómo usan el teléfono móvil y los videojuegos los atletas adolescentes de alto rendimiento?
García-Naveira, A., Acebes-Sánchez, J., & Zarceño, E. L. (2023) · Cuadernos de Psicología del Deporte · doi:10.6018/cpd.556151 · Cited by 2
Phone presence and relationship quality: Examining the role of emotion accuracy and bias
Heyman, J. L., & Human, L. J. (2024) · Journal of Social and Personal Relationships · doi:10.1177/02654075241227591 · Cited by 6
“Phone presence has indeed been associated with more negative experiences due to reduced attention quality (Dwyer et al., 2018; Kushlev & Dunn, 2019; Kushlev et al., 2019) or cognitive capacity (Kushlev & Leitao, 2020; Przybylski & Weinstein, 2013).”
BackgroundElmer, T., Fernández, A., Stadel, M., Kas, M. J., & Langener, A. M. (2023) · doi:10.31234/osf.io/uj6df · Cited by 2
A digitális bennszülöttek nyomában. Bemutatkozik az ELTE Alfa Generáció Labor
Liszkai-Peres, K., & Konok, V. (2022) · Anyanyelv-pedagógia · doi:10.21030/anyp.2022.4.10 · Cited by 1
Witowska, J., Schoetensack, C., Goncikowska, K., Chappuis, S., Boente, M. F., Klegr, T., Papastamatelou, J., Valenzuela, R., Černohorská, V., Codina, N., et al. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1645260 · Cited by 2
Goodyear, V. A., Randhawa, A., Adab, P., Al‐Janabi, H., Fenton, S. A. M., Michail, M., Patterson, P. H., Sitch, A. J., Wade, M., & Pallan, M. J. (2026) · Social Science & Medicine · doi:10.1016/j.socscimed.2026.119094 · Cited by 2
Malas, O., Blanch, À., Guazzini, A., & Duradoni, M. (2026) · Human Behavior and Emerging Technologies · doi:10.1155/hbe2/7957318 · Cited by 1
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Zhou, Z., Zhang, S., Li, Z., Feng, W., Zhang, F., Wang, A., & Yan, C. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1784047 · Cited by 2
Phubbing: revisión sistemática exploratoria
GONZÁLEZ, A. E. S., & Pedraza, S. E. D. C. B. (2022) · Ciencia Latina Revista Científica Multidisciplinar · doi:10.37811/cl_rcm.v6i5.3249 · Cited by 1
Digitalization and the Consumer Experience
Xara-Brasil, D., Viana, C., & Cruz, M. I. F. S. (2023) · Advances in web technologies and engineering book series · doi:10.4018/978-1-6684-9039-6.ch006 · Cited by 1
Walsh, L. C., Regan, A., Okabe‐Miyamoto, K., & Lyubomirsky, S. (2021) · doi:10.31234/osf.io/c3phw · Cited by 1
Social Media SensitivityPreprint
Vaid, S. S., Kroencke, L., Roshanaei, M., Talaifar, S., Hancock, J. T., Back, M. D., Gosling, S. D., Ram, N., & Harari, G. M. (2023) · doi:10.31234/osf.io/yfp45 · Cited by 1
Lee, A. Y., Stević, A., Walker-Keleher, G., Chen, C. Q.-A., Charity, E., Dahlke, R., & Hancock, J. T. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791723
“Several mechanisms have been proposed to explain why smart-phone use influences well-being in different ways, under the displace-interfere-complement framework [36].”
Digital Life and Well-BeingPreprint
Cheng, C., & Kushlev, K. (2022) · doi:10.31234/osf.io/67scf
Self-citationSocial Media and Well-being. The Role of Self-reported Measures of Social Media UsePreprint
Cabiró, M. P. (2022) · doi:10.31234/osf.io/k4asc
Psychological Perspectives on Mobile Media: A Flyover ReviewPreprint
Bayer, J., Reinecke, L., & Abeele, M. V. (2023) · doi:10.31234/osf.io/5jykh
Digital communication technologies and mental health
Gugushvili, N. (2023) · Research Publications (Maastricht University) · doi:10.26481/dis.20230320ng
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Metadata
- Authors
- Kushlev, K., & Leitao, M. R.
- Affiliations
- Georgetown University (US)
- Corresponding author
- Kushlev, Kostadin
- Venue
- Current Opinion in Psychology
- Publisher
- Elsevier BV
- Published
- 2020-12
- Volume
- 36
- Pages
- 77-82
- ISSN
- 2352-250X (ISSN-L)
- OpenAlex
- W3027003509
- Semantic Scholar
- 70d0db5af49d3987c0399094f95ea28a6c07914b
- Cited by
- 129
- References
- 47
- Citations by year
- 2026: 36 · 2025: 18 · 2024: 20 · 2023: 24 · 2022: 16 · 2021: 13 · 2020: 2
- FWCI
- 2.40
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Current Opinion in Psychology (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Education › Child Development and Digital Technology
- Social Sciences › Communication › Digital Media and Philosophy
- Keywords
- smartphones, well-being, displacement theory, interference hypothesis, complementarity hypothesis, psychological mediators, contextual moderators
- MeSH terms
- Smartphone, Humans
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