The DOI matches its Crossref record; 76 of the 76 references it cites were found in a registry or an index.
What Makes Smartphone Use Meaningful or Meaningless?
Abstract
Prior research indicates that many people wish to limit aspects of their smartphone use. Why is it that certain smartphone use feels so meaningless? We examined this question by using interviews, the experience sampling method, and mobile logging of 86,402 sessions of app use. One motivation for use (habitual use to pass the time) and two types of use (entertainment and passive social media) were associated with a lower sense of meaningfulness. In interviews, participants reported feeling a loss of autonomy when using their phone in these ways. These reports were corroborated by experience sampling data showing that motivation to achieve a specific purpose declined over the course of app use, particularly for passive social media and entertainment usage. In interviews, participants pointed out that even when smartphone use itself was meaningless, it could sometimes still be meaningful in the context of broader life as a 'micro escape' from negative situations. We discuss implications for how mobile apps can be used and designed to reduce meaningless experiences.
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“For instance, people associate scrolling passively on social media with a lack of control (Lukoff et al., 2018).”
From Is life brighter when your phone is not? The efficacy of a grayscale smartphone intervention addressing digital well-being (2024) · cites this paper as Lukoff et al., 2018
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Cites
lmerTest Package: Tests in Linear Mixed Effects Models
Kuznetsova, A., Brockhoff, P. B., & Christensen, R. H. B. (2017) · Journal of Statistical Software · doi:10.18637/jss.v082.i13 · Cited by 24,346
Russell, J. A. (1980) · Journal of Personality and Social Psychology · doi:10.1037/h0077714 · Cited by 16,334 · cited 4×
“Affective state was measured along the two dimensions of the circumplex model of affect [70]: valence (7-point scale; negative to positive) and arousal (7-point scale; low energy to high energy).”
BackgroundMethodInfluentialEllison, N. B., Steinfield, C., & Lampe, C. (2007) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2007.00367.x · Cited by 9,939
(2005) · PubMed · Cited by 7,011
Computing Inter-Rater Reliability for Observational Data: An Overview and Tutorial
Hallgren, K. A. (2012) · Tutorials in Quantitative Methods for Psychology · doi:10.20982/tqmp.08.1.p023 · Cited by 3,884
Validity and reliability of the Experience-Sampling Method
CSIKSZENTMIHALYI, M., & LARSON, R. (1987) · The Journal of Nervous and Mental Disease · doi:10.1097/00005053-198709000-00004 · Cited by 2,544 · cited 1×
“We built a mobile app that logged app use and used the experience sampling method (ESM) [16] to capture the behavior of 45 smartphone users for two weeks.”
MethodHedonia, eudaimonia, and well-being: an introduction
Deci, E. L., & Ryan, R. M. (2008) · Journal of Happiness Studies · doi:10.1007/s10902-006-9018-1 · Cited by 2,187
Facebook Use Predicts Declines in Subjective Well-Being in Young Adults
Kross, E., Verduyn, P., Demiralp, E., Park, J., Lee, D. S., Lin, N., Shablack, H., Jonides, J., & Ybarra, O. (2013) · PLoS ONE · doi:10.1371/journal.pone.0069841 · Cited by 1,596
Raacke, J., & Bonds-Raacke, J. (2008) · CyberPsychology & Behavior · doi:10.1089/cpb.2007.0056 · Cited by 1,577 · cited 1×
“Prior work has drawn on U&G to explain why users engage with VCRs [15], social media [60], early cellular phones [40], soap operas [68], tablets [47], and many other technologies.”
BackgroundlmerTest: Tests in Linear Mixed Effects Models
Kuznetsova, A., Brockhoff, P. B., & Christensen, R. H. B. (2013) · doi:10.32614/cran.package.lmertest · Cited by 1,327
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Research works printed but not linked: 8
- 10.5555/3153564 · DOI
- 10.5555/2627995 · DOI
- 10.5555/1855023 · DOI
- Markus Löchtefeld, Matthias Böhmer, and Lyubomir Ganev. 2013. AppDetox. In Proceedings of the 12th International Conference on Mobile and Ubiquitous Multimedia - MUM '13, 1--2.
- Stacey Morrison and Ricardo Gomez. 2013. Pushback: The Growth of Expressions of Resistance to Constant Online Connectivity Methods: A Literature Review on Pushback. 1--15.
- Lee Rainie, Aaron Smith, and Maeve Duggan. 2013. Coming and going on Facebook. Pew Research Center's Internet and American Life Project.
- Alan M Rubin. 2009. Uses and gratifications. The SAGE handbook of media processes and effects.
- Thomas E Ruggiero. 2009. Mass Communication and Society Uses and Gratifications Theory in the 21st Century. June 2014: 37--41.
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Rapp, A., Curti, L., & Boldi, A. (2021) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2021.102630 · Cited by 733
Social Media and Well-Being: Pitfalls, Progress, and Next Steps
Kross, E., Verduyn, P., Sheppes, G., Costello, C. K., Jonides, J., & Ybarra, O. (2021) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2020.10.005 · Cited by 474
Digital Wellbeing as a Dynamic Construct
Vanden Abeele, M. M. P. (2021) · Communication Theory · doi:10.1093/ct/qtaa024 · Cited by 516
Smartphone addiction is increasing across the world: A meta-analysis of 24 countries
Olson, J. A., Sandra, D. A., Colucci, É. S., Bikaii, A. A., Chmoulevitch, D., Nahas, J., Raz, A., & Veissière, S. P. L. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.107138 · Cited by 474
The Design of Ecological Momentary Assessment Technologies
Doherty, K., Balaskas, A., & Doherty, G. J. (2020) · Interacting with Computers · doi:10.1093/iwcomp/iwaa019 · Cited by 202
Metadata
- Authors
- Lukoff, K., Yu, C., Kientz, J., & Hiniker, A.
- Affiliations
- University of Washington (US)
- Brown University (US)
- Venue
- Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
- Published
- 2018-03-26
- Volume
- 2
- Issue
- 1
- Pages
- 1-26
- ISSN
- 2474-9567 (ISSN-L)
- OpenAlex
- W2794622338
- Cited by
- 205
- References
- 76
- Citations by year
- 2026: 24 · 2025: 32 · 2024: 29 · 2023: 34 · 2022: 33 · 2021: 26 · 2020: 14 · 2019: 12 · 2018: 1
- FWCI
- 30.16
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (publishedVersion)
- Funders
- NSF (#IIS-1553167)
- Intel Science & Technology Center on Pervasive Computing
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Social Sciences › Decision Sciences › Information Systems and Management › Personal Information Management and User Behavior
- Keywords
- smartphone use, meaningfulness, habituation, entertainment use, loss of autonomy, mobile application design
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