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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- Adam Alter. 2017. Irresistible: The Rise of Addictive Technology and the Business of Keeping Us Hooked. Penguin. Google ScholarDigital Library
- Sam Altaian. 2014. Value is created by doing. Retrieved from https://blog.samaltman.com/value-is-created-by-doingGoogle Scholar
- Nikola Banovic, Christina Brant, Jennifer Mankoff, and Anind K Dey. 2014. ProactiveTasks: the Short of Mobile Device Use Sessions. Proceedings of the 16th international conference on Human-computer interaction with mobile devices 8 services - MobileHCI '14: 243--252. Google ScholarDigital Library
- Roy F. Baumeister, Kathleen D. Vohs, Jennifer L. Aaker, and Emily N. Garbinsky. 2013. Some key differences between a happy life and a meaningful life. Journal of Positive Psychology 8, 6: 505--516.Google ScholarCross Ref
- Eric P.S. Baumer, Phil Adams, Vera D. Khovanskaya, Tony C. Liao, Madeline E. Smith, Victoria Schwanda Sosik, and Kaiton Williams. 2013. Limiting leaving, and (re)lapsing. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems - CHI '13, 3257. Google ScholarDigital Library
- Joseph B Bayer, Nicole B Ellison, Sarita Y Schoenebeck, and Emily B Falk. 2016. Sharing the small moments: ephemeral social interaction on Snapchat. Inf. Commun. Soc. 19, 7: 956--977.Google ScholarCross Ref
- JT Behrens. 1997. Principles and procedures of exploratory data analysis. Psychological Methods 2:131.Google ScholarCross Ref
- Katherine Bessiere, Sara Kiesler, Robert Kraut, and Bonka S Boneva. 2008. Effects of Internet use and social resources on changes in depression. Information, Community 8 Society 11, 1: 47--70.Google Scholar
- Matthias Böhmer, Brent Hecht, Johannes Schöning, Antonio Krüger, and Gernot Bauer. 2011. Falling Asleep with Angry Birds, Facebook and Kindle: A Large Scale Study on Mobile Application Usage. In Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services (MobileHCI '11), 47--56. Google ScholarDigital Library
- Bianca Bosker. 2016. The Binge Breaker. The Atlantic. Retrieved from https://www.theatlantic.com/magazine/archive/2016/11/the-binge-breaker/501122/Google Scholar
- Rafael A Calvo, Karthik Dinakar, Rosalind Picard, and Pattie Maes. 2016. Computing in mental health. In Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, 3438--3445. Google ScholarDigital Library
- Rafael A Calvo and Dorian Peters. 2014. Positive computing: technology for wellbeing and human potential. MIT Press. Google ScholarDigital Library
- Nicholas Carr. 2011. The shallows: What the Internet is doing to our brains. WW Norton 8 Company. Google ScholarDigital Library
- Michael Chan. 2015. Mobile phones and the good life: Examining the relationships among mobile use, social capital and subjective well-being. New Media 8 Society 17, 1: 96--113.Google Scholar
- A. A. Cohen, M. R. Levy, and K. Golden. 1988. Children's Uses and Gratifications of Home VCRs: Evolution or Revolution. Communication Research 15, 6: 772--780.Google ScholarCross Ref
- M Csikszentmihalyi and R Larson. 1987. Validity and reliability of the Experience-Sampling Method. J. Nerv. Ment. Dis. 175, 9:526--536.Google ScholarCross Ref
- Edward L. Deci and Richard M. Ryan. 2008. Hedonia, eudaimonia, and well-being: An introduction. Journal of Happiness Studies 9, 1:1--11.Google ScholarCross Ref
- Matthew S Eastin. 2010. Handbook of Research on Digital Media and Advertising: User Generated Content Consumption: User Generated Content Consumption. IGI Global. Google ScholarDigital Library
- Nicole B. Ellison, Charles Steinfield, and Cliff Lampe. 2007. The Benefits of Facebook "Friends:" Social Capital and College Students' Use of Online Social Network Sites. Journal of Computer-Mediated Communication 12, 4: 1143--1168.Google ScholarCross Ref
- Batya Friedman, Peter H. Kahn, and Alan Borning. 2009. Value Sensitive Design and Information Systems. In The Handbook of Information and Computer Ethics. John Wiley 8 Sons, Inc., 69--101.Google Scholar
- Bin Fu, Jialiu Lin, Lei Li, Christos Faloutsos, Jason Hong, and Norman Sadeh. 2013. Why People Hate Your App: Making Sense of User Feedback in a Mobile App Store. In Proceedings of the 19th {ACM} {SIGKDD} International Conference on Knowledge Discovery and Data Mining (KDD '13), 1276--1284. Google ScholarDigital Library
- Kevin A Hallgren. 2012. Computing Inter-Rater Reliability for Observational Data: An Overview and Tutorial. Tutor. Quant. Methods Psychol. 8, 1: 23--34.Google ScholarCross Ref
- Jennifer Healey. 2011. Recording Affect in the Field: Towards Methods and Metrics for Improving Ground Truth Labels. In Affective Computing and Intelligent Interaction, 107--116. Google ScholarDigital Library
- Alexis Hiniker, Sungsoo (Ray) Hong, Tadayoshi Kohno, and Julie A. Kientz. 2016. MyTime: Designing and Evaluating an Intervention for Smartphone Non-Use. In CHI '16, 4746--4757. Google ScholarDigital Library
- Alexis Hiniker, Shwetak N. Patel, Tadayoshi Kohno, and Julie A. Kientz. 2016. Why would you do that? predicting the uses and gratifications behind smartphone-usage behaviors. In UbiComp '16, 634--645. Google ScholarDigital Library
- Alexis Hiniker, Kiley Sobel, Hyewon Suh, Yi-Chen Sung, Charlotte P. Lee, and Julie A. Kientz. 2015. Texting while parenting: How adults use mobile phones while caring for children at the playground. In CHI '15, 727--736. Google ScholarDigital Library
- Jihyuk Joo and Yoonmo Sang. 2013. Exploring Koreans' smartphone usage: An integrated model of the technology a cceptance model and uses and gratifications theory. Computers in Human Behavior 29, 6: 2512--2518. Google ScholarDigital Library
- Barbara K. Kaye. 1998. Uses and gratifications of the World Wide Web: From couch potato to web potato. New Jersey Journal of Communication 6, 1: 21--40.Google ScholarCross Ref
- Inyeop Kim, Gyuwon Jung, Hayoung Jung Minsam Ko, and Uichin Lee. 2017. Let's FOCUS. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 1, 3:1--29. Google ScholarDigital Library
- Jaejeung Kim, Chiwoo Cho, and Uichin Lee. 2017. Technology Supported Behavior Restriction for Mitigating Self-Interruptions in Multi-device Environments. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 1, 3:1--21. Google ScholarDigital Library
- Minsam Ko, Seungwoo Choi, Subin Yang, Joonwon Lee, and Uichin Lee. 2015. FamiLync: facilitating participatory parental mediation of adolescents' smartphone use. 867--878. Google ScholarDigital Library
- Minsam Ko, Seungwoo Choi, Koji Yatani, and Uichin Lee. 2016. Lock n' LoL. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems - CHI '16, 998--1010. Google ScholarDigital Library
- Minsam Ko, Kyong-Mee Chung, Subin Yang, Joonwon Lee, Christian Heizmann, Jinyoung Jeong, Uichin Lee, Daehee Shin, Koji Yatani, and Junehwa Song. 2015. NUGU: A group-based intervention app for improving self-regulation of limiting smartphone use. In CSCW'15, 1235--1245. Google ScholarDigital Library
- Ksenia Koroleva, Hanna Krasnova, Natasha Veltri, and Oliver Günther. 2011. It's all about networking! empirical investigation of social capital formation on social network sites. In ICIS 2011 Proceedings. Retrieved from https://aisel.aisnet.org/icis2011/proceedings/onlinecommunity/24Google Scholar
- Hanna Krasnova, Helena Wenninger, Thomas Widjaja, and Peter Buxmann. 2013. Envy on Facebook: A hidden threat to users' life satisfaction? In 11th International Conference on Wirtschaftsinformatik.Google Scholar
- Steven Eric Krauss. 2005. Research paradigms and meaning making: A primer. The qualitative report 10, 4: 758--770.Google Scholar
- Ethan Kross, Philippe Verduyn, Emre Demiralp, Jiyoung Park, David Seungjae Lee, Natalie Lin, Holly Shablack John Jonides, and Oscar Ybarra. 2013. Facebook use predicts declines in subjective well-being in young adults. PLoS One 8, 8: e69841.Google ScholarCross Ref
- Alexandra Kuznetsova, Per Bruun Brockhoff, and Rune Haubo Bojesen Christensen. 2015. lmerTest: tests in linear mixed effects models. R package version 2.0.Google Scholar
- Uichin Lee, Subin Yang, Minsam Ko, and Joonwon Lee. 2014. Supporting Temporary Non-Use of Smartphones. In In Refusing, Limitng, Departing: Why We Should Study. Technology Non-Use (CHI '14 Workshop).Google Scholar
- L. Leung and R. Wei. 2000. More Than Just Talk on the Move: Uses and Gratifications of the Cellular Phone. Journalism 8 Mass Communication Quarterly 77, 2: 308--320.Google ScholarCross Ref
- David M Levy. 2016. Mindful Tech: How to Bring Balance to Our Digital Lives. Yale University Press.Google Scholar
- Richard J Light. 1971. Measures of response agreement for qualitative data: Some generalizations and alternatives. Psychol. Bull. 76, 5: 365.Google ScholarCross Ref
- 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.Google Scholar
- Kai Lukoff, Carol Moser, and Sarita Schoenebeck. 2017. Gender Norms and Attitudes about Childcare Activities Presented on Father Blogs. Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems - CHI '17: 4966--4971. Google ScholarDigital Library
- Ulrik Lyngs. 2018. A Cognitive Design Space for Supporting Self-Regulation of ICT Use. In CHl'18 Extended Abstracts on Human Factors in Computing Systems {forthcoming).Google Scholar
- Ulrik Lyngs, Reuben Binns, Max van Kleek, and Nigel Shadbolt. 2018. "So, Tell Me What Users Want, What They Really, Really Want!" In CHI'18 Extended Abstracts on Human Factors in Computing Systems (forthcoming).Google Scholar
- Kate Magsamen-Conrad, John Dowd, Mohammad Abuljadail, Saud Alsulaiman, and Adnan Shareefi. 2015. Life-Span Differences in the Uses and Gratifications of Tablets: Implications for Older Adults. Computers in human behavior 52: 96--106. Google ScholarDigital Library
- Abraham Maslow. 1965. Self-actualization and beyond.Google Scholar
- M. Mazmanian. 2012. Avoiding the trap of constant connectivity: When congruent frames allow for heterogeneous practices. Academy of Management Journal.Google Scholar
- Melissa Mazmanian. 2010. Understanding the BlackBerry: Negotiating connectivity in the different organizational worlds. Massachusetts Institute of Technology, Doctoral Dissertation.Google Scholar
- Sandra Metts, Susan Sprecher, William R Cupach, Barbara M Montgomery, and Steve Duck 1991. Retrospective self-reports. Studying interpersonal interaction: 162--178.Google Scholar
- 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.Google Scholar
- Stacey Morrison and Ricardo Gomez. 2014. Pushback: Expressions of resistance to the "evertime" of constant online connectivity. First Monday 19, 8.Google ScholarCross Ref
- Cal Newport. 2016. Deep work: Rules for focused success in a distracted world. Hachette UK.Google Scholar
- Will Oremus. 2016. Who Controls Your Facebook Feed. Slate. Retrieved from http://www.slate.com/articles/technology/cover_story/2016/01/how_facebook_s_news_feed_algorithm_works.htmlGoogle Scholar
- Antti Oulasvirta, Tye Rattenbury, Lingyi Ma, and Eeva Raita. 2012. Habits make smartphone use more pervasive. Personal and Ubiquitous Computing 16, 1:105--114. Google ScholarDigital Library
- Alex Soojung-Kim Pang. 2013. The distraction addiction: getting the information you need and the communication you want, without enraging your family, annoying your colleagues, and .... Hachette UK. Google ScholarDigital Library
- Laura Pina, Kael Rowan, Paul Johns, Asta Roseway, Gillian Hayes, and Mary Czerwinski. 2014. In Situ Cues for ADHD Parenting Strategies Using Mobile Technology. Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare. Google ScholarDigital Library
- Laura Portwood-Stacer. 2013. Media refusal and conspicuous non-consumption: The performative and political dimensions of Facebook abstention. New Media 8 Society 15, 7:1041--1057.Google Scholar
- John Raacke and Jennifer Bonds-Raacke. 2008. MySpace and Facebook: applying the uses and gratifications theory to exploring friend-networking sites. Cyberpsychology 8 behavior: the impact of the Internet, multimedia and virtual reality on behavior and society 11, 2:169--74.Google Scholar
- Ahmad Rahmati, Chad Tossell, Clayton Shepard, Philip Kortum, and Lin Zhong. 2012. Exploring iPhone Usage: The Influence of Socioeconomic Differences on Smartphone Adoption, Usage and Usability. In Proceedings of the 14th International Conference on Human-computer Interaction with Mobile Devices and Services (MobileHCI '12), 11--20. Google ScholarDigital Library
- Lee Rainie, Aaron Smith, and Maeve Duggan. 2013. Coming and going on Facebook. Pew Research Center's Internet and American Life Project.Google Scholar
- John Rooksby, Parvin Asadzadeh, Mattias Rost, Alistair Morrison, and Matthew Chalmers. 2016. Personal Tracking of Screen Time on Digital Devices. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems - CHI '16, 284--296. Google ScholarDigital Library
- Larry D. Rosen, L. Mark Carrier, and Nancy A. Cheever. 2013. Facebook and texting made me do it: Media-induced task- switching while studying. Computers in Human Behavior 29, 3: 948--958. Google ScholarDigital Library
- Alan M Rubin. 2009. Uses and gratifications. The SAGE handbook of media processes and effects.Google Scholar
- Alan M. Rubin. 1983. Television uses and gratifications: The interactions of viewing patterns and motivations. Journal of Broadcasting 27, 1:37--51.Google ScholarCross Ref
- Alan M. Rubin. 1984. Ritualized and instrumental television viewing. Journal of Communication 34, 3: 67--77.Google ScholarCross Ref
- Alan M. Rubin and Elizabeth M. Perse. 1987. Audience Activity and Soap Opera Involvement A Uses and Effects Investigation. Human Communication Research 14, 2: 246--268.Google ScholarCross Ref
- Thomas E Ruggiero. 2009. Mass Communication and Society Uses and Gratifications Theory in the 21st Century. June 2014: 37--41.Google Scholar
- James A Russell. 1980. A circumplex model of affect. J. Pers. Soc. Psychol. 39, 6:1161.Google ScholarCross Ref
- Christina Sagioglou and Tobias Greitemeyer. 2014. Facebook's emotional consequences: Why Facebook causes a decrease in mood and why people still use it. Comput. Human Behav. 35: 359--363.Google ScholarCross Ref
- Alireza Sahami Shirazi, Niels Henze, Tilman Dingier, Martin Pielot, Dominik Weber, and Albrecht Schmidt. 2014. Large-scale assessment of mobile notifications. Proceedings of the 32nd annual ACM conference on Human factors in computing systems - CHI'14: 3055--3064. Google ScholarDigital Library
- Mohammad Salehan and Arash Negahban. 2013. Social networking on smartphones: When mobile phones become addictive. Computers in Human Behavior 29, 6: 2632--2639. Google ScholarDigital Library
- Sarita Yardi Schoenebeck. 2014. Giving up Twitter for Lent: How and Why We Take Breaks from Social Media. CHI 2014: 773--782. Google ScholarDigital Library
- Natasha Dow Schüll. 2012. Addiction by design: machine gambling in Las Vegas.Google Scholar
- W J Severin and J W Tankard. 1997. Cognitive Consistency and Mass Communication. Communication Theories: Origins, Methods, and Uses in Mass Media: 159--177.Google Scholar
- Choonsung Shin and Anind K Dey. 2013. Automatically Detecting Problematic Use of Smartphones. In Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '13), 335--344. Google ScholarDigital Library
- Philippe Verduyn, David Seungjae Lee, Jiyoung Park, Holly Shablack, Ariana Orvell, Joseph Bayer, Oscar Ybarra, John Jonides, and Ethan Kross. 2015. Passive Facebook usage undermines affective well-being: Experimental and longitudinal evidence. J. Exp. Psychol. Gen. 144, 2: 480--488.Google ScholarCross Ref
- Anthony J Viera and Joanne M Garrett. 2005. Understanding interobserver agreement: the kappa statistic. Fam. Med. 37, 5: 360--363.Google Scholar
- Robert A White. 1994. Audience interpretation of media: Emerging perspectives. Communication Research Trends 14, 3: 3--36.Google Scholar
- QiangXu, Jeffrey Erman, Alexandre Gerber, Zhuoqing Mao, Jeffrey Pang, and Shobha Venkataraman. 2011. Identifying Diverse Usage Behaviors of Smartphone Apps. In Proceedings of the 2011 ACM SIGCOMM Conference on Internet Measurement Conference {IMC '11), 329--344. Google ScholarDigital Library
- Cissy Yu. Emotion-sampling. Emotion Sampling Study App. Retrieved from https://github.com/yucissy/Emotion-samplingGoogle Scholar
- S Zika, K journal of psychology, and 1992. 1992. On the relation between meaning in life and psychological well-being. Wiley Online Library.Google Scholar
- Mark Zuckerberg. Untitled Post - January 11, 2018. Facebook. Retrieved from https://www.facebook.com/zuck/posts/10104413015393571Google Scholar
- Time Well Spent. Time Well Spent. Retrieved from http://www.timewellspent.ioGoogle Scholar
- Android 5.0 APIs | Android Developers. Retrieved from https://developer.android.com/reference/android/app/usage/package-summary.htmlGoogle Scholar
- Momentum Browser Extension. Retrieved January 25, 2018 from https://momentumdash.com/Google Scholar
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- What Makes Smartphone Use Meaningful or Meaningless?
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