Smartphone addiction, daily interruptions and self-reported productivity
Open accessAbstract
The advent of the smartphone has dramatically altered how we communicate, navigate, work and entertain ourselves. While the advantages of this new technology are clear, constant use may also bring negative consequences, such as a loss of productivity due to interruptions in work life. A link between smartphone overuse and loss of productivity has often been hypothesized, but empirical evidence on this question is scarce. The present study addressed this question by collecting self-report data from N = 262 participants, assessing private and work-related smartphone use, smartphone addiction and self-rated productivity. Our results indicate a moderate relationship between smartphone addiction and a self-reported decrease in productivity due to spending time on the smartphone during work, as well as with the number of work hours lost to smartphone use. Smartphone addiction was also related to a greater amount of leisure time spent on the smartphone and was strongly related to a negative impact of smartphone use on daily non-work related activities. These data support the idea that tendencies towards smartphone addiction and overt checking of the smartphone could result in less productivity both in the workplace and at home. Results are discussed in relation to productivity and technostress. • A link between smartphone use and loss of productivity is investigated for the first time. • A moderate relationship is seen between smartphone addiction and decreased work productivity. • Smartphone addiction scores are also perceived to negatively affect daily life. • Findings are discussed in relation to flow and technostress.
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Other studies investigating the impact on work performance found that work was neglected and productivity reduced, that users experienced work problems, and a perception of work overload.
“Other studies investigating the impact on work performance found that work was neglected and productivity reduced (e.g., Bian & Leung, 2015;Duke & Montag, 2017;Shin & Lee, 2015), that users experienced work problems (e.g., Park, 2019;Soror et al., 2012;Vaghefi et al., 2017) and a perception of work overload (Turel et al., 2008).”
From Antecedents and consequences of problematic smartphone use: A systematic literature review of an emerging research area (2021) · cites this paper as Duke & Montag, 2017
Duke and Montag support the productivity part of the clause: the Discussion reports that participants perceived smartphone use to harm work productivity, and the Conclusion describes a moderate association with self-reported negative effects. The paper does not establish that work was objectively neglected or that productivity was measured to have fallen; its findings rely on self-report. The later claims about work problems and overload are attributed to other citations, not this paper. (LLM, conf=0.82)
Experimental — accuracy not yet measuredContinuous digital distractions might reduce the cognitive capacity for careful deliberation, leading to more impulsive decisions.
“Continuous digital distractions might reduce the cognitive capacity for careful deliberation, leading to more impulsive decisions (Duke and Montag, 2017).”
From The impact of digital technology, social media, and artificial intelligence on cognitive functions: a review (2023) · cites this paper as Duke and Montag, 2017
The Introduction (page not provided) says smartphone interruptions can disrupt sustained concentration, and the Discussion suggests frequent phone checking may undermine flow at work. The paper does not say that these distractions reduce the capacity for careful deliberation or lead to more impulsive decisions; its discussion of impulsivity concerns phone use itself. (LLM, conf=0.84)
Experimental — accuracy not yet measuredDigital detox periods of abstinence from digital devices can restore cognitive functions and reduce stress levels.
“Digital Detox: periods of abstinence from digital devices can restore cognitive functions and reduce stress levels (Duke and Montag, 2017).”
From The impact of digital technology, social media, and artificial intelligence on cognitive functions: a review (2023) · cites this paper as Duke and Montag, 2017
The Discussion (page unavailable) links smartphone use to self-reported productivity problems and discusses technostress, but does not assess periods of abstinence. Searches for digital detox, device abstinence, cognitive restoration, and stress reduction found no passage supporting the claimed effects. (LLM, conf=0.74)
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Cites
Brand, M., Young, K. S., Laier, C., Wölfling, K., & Potenza, M. N. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.08.033 · Cited by 2,153 · see citing works
Development and Validation of a Smartphone Addiction Scale (SAS)
Kwon, M., Lee, J.-Y., Won, W.-Y., Park, J.-W., Min, J.-A., Hahn, C., Gu, X., Choi, J.-H., & Kim, D.-J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0056936 · Cited by 1,670 · see citing works
Relationships among smartphone addiction, stress, academic performance, and satisfaction with life
Samaha, M., & Hawi, N. S. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.12.045 · Cited by 1,246 · see citing works
Beginning the workday yet already depleted? Consequences of late-night smartphone use and sleep
Lanaj, K., Johnson, R. E., & Barnes, C. M. (2014) · Organizational Behavior and Human Decision Processes · doi:10.1016/j.obhdp.2014.01.001 · Cited by 738 · see citing works
Smartphone usage in the 21st century: who is active on WhatsApp?
Montag, C., Błaszkiewicz, K., Sariyska, R., Lachmann, B., Andone, I., Trendafilov, B., Eibes, M., & Markowetz, A. (2015) · BMC Research Notes · doi:10.1186/s13104-015-1280-z · Cited by 408 · see citing works
Self-citationMomentary interruptions can derail the train of thought.
Altmann, E. M., Trafton, J. G., & Hambrick, D. Z. (2014) · Journal of Experimental Psychology: General · doi:10.1037/a0030986 · Cited by 230 · see citing works
Thomée, S., Dellve, L., Härenstam, A., & Hagberg, M. (2010) · BMC Public Health · doi:10.1186/1471-2458-10-66 · Cited by 181 · see citing works
Montag, C., & Walla, P. (2016) · Cogent Psychology · doi:10.1080/23311908.2016.1157281 · Cited by 179 · see citing works
Self-citationMontag, C., Błaszkiewicz, K., Lachmann, B., Sariyska, R., Andone, I., Trendafilov, B., & Markowetz, A. (2015) · Behavioral Sciences · doi:10.3390/bs5040434 · Cited by 122 · see citing works
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Flagged first, then by citations
Research works printed but not linked: 18
- Cao F. Su L. Liu T. Gao X. The relationship between impulsivity and internet addiction in a sample of Chinese adolescents European Psychiatry 22 7 2007 466 471 17765486
- Chen J. Liang Y. Mai C. Zhong X. Chen Q. General deficit in inhibitory control of excessive smartphone users: Evidence from an event-related potential study Frontiers in Psychology 7 2016 511 27148120 PMC4830824
- Csikszentmihalyi M. Csikszentmihalyi, I. S. (Eds.). Optimal experience: Psychological studies of flow in consciousness 1992 Cambridge university press
- De-Sola Gutiérrez J. de Fonseca R.F. Rubio G. Cell-phone addiction: A review Frontiers in Psychiatry 7 2016 175 27822187 PMC5076301
- Duke, É., & Montag, C. (2017). Smartphone addiction and beyond: Initial insights on an emerging research topic and its relationship to internet addiction. In Internet Addiction (pp. 359-372). Springer international publishing.
- Elder V.B. Gardner E.P. Ruth S.R. Gender and age in technostress: Effects on white collar productivity Government Finance Review 3 6 1987 17 21
- Fischer, T. & Riedl, R. (2015). Theorizing technostress in Organisations: A Cybernetic Approach. In O. Thomas & F. Teuteberg (Hrsg.): Proceedings der 12. Internationalen Tagung Wirtschaftsinformatik (WI 2015), Osnabrück, S. 1453–1467.
- Lin Y.H. Lin Y.C. Lee Y.H. Lin P.H. Lin S.H. Chang L.R. … Kuo T.B. Time distortion associated with smartphone addiction: Identifying smartphone addiction via a mobile application (app) Journal of Psychiatric Research 65 2015 139 145 25935253
- Miller G. The smartphone psychology manifesto Perspectives on Psychological Science 7 3 2012 221 237 26168460
- Montag C. Reuter M. Markowetz A. The impact of Psychoinformatics on internet addiction Montag C. Reuter M. Internet Addiction (pp. 143–150) 2015 Springer International Publishing
- Montag C. Kannen C. Lachmann B. Sariyska R. Duke É. Reuter M. Markowetz A. The importance of analogue zeitgebers to reduce digital addictive tendencies in the 21st century Addictive Behaviors Reports 2 2015 23 27 PMC5845952 29531991
- Montag C. Duke É. Markowetz A. Towards Psychoinformatics: Computer science meets Psychology Computational and Mathematical Methods in Medicine 2016 2016 2983685 PMC4923556 27403204
- Reilly M.C. Zbrozek A.S. Dukes E.M. The validity and reproducibility of a work productivity and activity impairment instrument PharmacoEconomics 4 5 1993 353 365 10146874
- Riedl R. On the biology of technostress: Literature review and research agenda ACM SIGMIS Database 44 1 2013 18 55
- Sariyska R. Reuter M. Lachmann B. Montag C. Attention deficit / hyperactivity disorder is a better predictor for problematic internet use than depression: Evidence from Germany Journal of Addiction Research & Therapy 6 2015 209
- Thomée S. Härenstam A. Hagberg M. Mobile phone use and stress, sleep disturbances and symptoms of depression among young adults – A prospective cohort study BMC Public Health 11 2011 66 21281471 PMC3042390
- Weil M.M. Rosen L.D. TechnoStress. Coping with technology @work @home @play 1997 Wiley New York
- Widyanto L. Griffiths M. Internet addiction: A critical review Internatino Journal of Mental Health and Addiction 4 2006 31 51
Cited by
Sorted by citations
Busch, P. A., & McCarthy, S. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106414 · Cited by 657 · see citing works
Wolniewicz, C. A., Tiamiyu, M. F., Weeks, J. W., & Elhai, J. D. (2018) · Psychiatry Research · doi:10.1016/j.psychres.2017.09.058 · Cited by 539 · see citing works
Montag, C., Lachmann, B., Herrlich, M., & Zweig, K. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16142612 · Cited by 387 · see citing works
Self-citationThe digital workplace and its dark side: An integrative review
Marsh, E., Vallejos, E. P., & Spence, A. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2021.107118 · Cited by 348 · see citing works
Rozgonjuk, D., Levine, J. C., Hall, B. J., & Elhai, J. D. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.05.019 · Cited by 327 · see citing works
COVID-19 anxiety symptoms associated with problematic smartphone use severity in Chinese adults
Elhai, J. D., Yang, H., McKay, D., & Asmundson, G. J. G. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.05.080 · Cited by 325 · see citing works
Shanmugasundaram, M., & Tamilarasu, A. (2023) · Frontiers in Cognition · doi:10.3389/fcogn.2023.1203077 · Cited by 291 · see citing works
Elhai, J. D., Levine, J. C., O’Brien, K. D., & Armour, C. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.03.026 · Cited by 177 · see citing works
Alotaibi, M., Fox, M., Coman, R., Ratan, Z., & Hosseinzadeh, H. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19063710 · Cited by 144 · see citing works
Elhai, J. D., Yang, H., & Montag, C. (2019) · Current Addiction Reports · doi:10.1007/s40429-019-00260-4 · Cited by 106 · see citing works
Self-citationPeterka-Bonetta, J., Sindermann, C., Sha, P., Zhou, M., & Montag, C. (2019) · Addictive Behaviors · doi:10.1016/j.addbeh.2018.08.011 · Cited by 76 · see citing works
Self-citationSmartphone Use and Academic Performance of University Students: A Mediation and Moderation Analysis
Ahmed, R. R., Salman, F., Malik, S. A., Streimikiene, D., Soomro, R. H., & Pahi, M. H. (2020) · Sustainability · doi:10.3390/su12010439 · Cited by 67 · see citing works
Evidence for and against banning mobile phones in schools: a scoping review.
Campbell, M., Edwards, E. J., Pennell, D., Poed, S., Lister, V., Gillett-Swan, J., Kelly, A., Zec, D., & Nguyen, T.-A. (2024) · Journal of Psychologists and Counsellors in Schools · doi:10.1177/20556365241270394 · Cited by 66 · see citing works
Jeong, B., Lee, J. Y., Kim, B. M., Park, E., Kwon, J.-G., Kim, D.-J., Lee, Y., Choi, J.-S., & Lee, D. (2020) · Addictive Behaviors · doi:10.1016/j.addbeh.2020.106485 · Cited by 62 · see citing works
Kil, N., Kim, J., McDaniel, J. T., Kim, J., & Kensinger, K. (2021) · Health Promotion Perspectives · doi:10.34172/hpp.2021.06 · Cited by 49 · see citing works
“2,10,12 Some limitations of this study should be noted.”
Color me calm: Grayscale phone setting reduces anxiety and problematic smartphone use
Holte, A. J., Giesen, D. T., & Ferraro, F. R. (2023) · Current Psychology · doi:10.1007/s12144-021-02020-y · Cited by 22 · see citing works
Wong, S. M., Chen, E. Y., Wong, C. S., Suen, Y., Chan, D. L., Tsang, S. H., Wong, T., Cheung, C., Chan, K., Lui, S. S., et al. (2022) · Psychiatry Research · doi:10.1016/j.psychres.2022.114939 · Cited by 21 · see citing works
- Authors
- Duke, É., & Montag, C.
- Affiliations
- Goldsmiths University of London (GB)
- University of Electronic Science and Technology of China (CN)
- Corresponding author
- Duke, Éilish
- Montag, Christian
- Venue
- Addictive Behaviors Reports
- Publisher
- Elsevier BV
- Published
- 2017-12
- Volume
- 6
- Pages
- 90-95
- ISSN
- 2352-8532 (ISSN-L)
- PMC
- PMC5800562
- OpenAlex
- W2737692093
- Cited by
- 466
- References
- 9
- Citations by year
- 2026: 32 · 2025: 38 · 2024: 62 · 2023: 58 · 2022: 80 · 2021: 64 · 2020: 76 · 2019: 31 · 2018: 22 · 2017: 3
- FWCI
- 92.46
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Addictive Behaviors Reports (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- German Research Foundation (2363/3-1)
- Social Science Research Council (J00124)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Decision Sciences › Information Systems and Management › Personal Information Management and User Behavior
- Social Sciences › Demography › Cyberloafing and Workplace Behavior
- Keywords
- smartphone addiction, smartphone overuse, labor productivity, interruptions, technostress, flow
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