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  • Smartphones are an integral part of daily life for many people worldwide. However, concerns have been raised that long usage times and the fragmentation of daily life through smartphone usage are detrimental to well-being. This preregistered study assesses (1) whether differences in smartphone usage behaviors between individuals predict differences in a variety of well-being measures (between-person effects) and (2) whether differences in smartphone usage behaviors between situations predict whether an individual is feeling better or worse (within-person effects). In addition to total usage time, several indicators capturing the fragmentation of usage/nonusage time were developed. The study combines objectively measured smartphone usage with self-reports of well-being in surveys (N = 236) and an experience sampling period (N = 378, n = 5775 datapoints). To ensure the robustness of the results, we replicated our analyses in a second measurement period (surveys: N = 305; experience sampling: N = 534, n = 7287 datapoints) and consideredSmartphones are an integral part of daily life for many people worldwide. However, concerns have been raised that long usage times and the fragmentation of daily life through smartphone usage are detrimental to well-being. This preregistered study assesses (1) whether differences in smartphone usage behaviors between individuals predict differences in a variety of well-being measures (between-person effects) and (2) whether differences in smartphone usage behaviors between situations predict whether an individual is feeling better or worse (within-person effects). In addition to total usage time, several indicators capturing the fragmentation of usage/nonusage time were developed. The study combines objectively measured smartphone usage with self-reports of well-being in surveys (N = 236) and an experience sampling period (N = 378, n = 5775 datapoints). To ensure the robustness of the results, we replicated our analyses in a second measurement period (surveys: N = 305; experience sampling: N = 534, n = 7287 datapoints) and considered the pattern of effects across different operational definitions and constructs. Results show that individuals who use their smartphone more report slightly lower well-being (between-person effect) but no evidence for within-person effects of total usage time emerged. With respect to fragmentation, we found no robust association with well-being.show moreshow less

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Metadaten
Author details:Fenne große DetersORCiDGND, Ramona Schoedel
DOI:https://doi.org/10.1016/j.chb.2023.107977
ISSN:0747-5632
ISSN:1873-7692
Title of parent work (English):Computers in human behavior
Subtitle (German):using intensive longitudinal smartphone sensing data to assess how everyday smartphone usage behaviors are related to well-being
Publisher:Elsevier Science
Place of publishing:Amsterdam
Publication type:Article
Language:English
Date of first publication:2023/10/03
Publication year:2023
Release date:2024/03/13
Volume:150
Article number:107977
Organizational units:Wirtschafts- und Sozialwissenschaftliche Fakultät / Wirtschaftswissenschaften / Fachgruppe Betriebswirtschaftslehre
DDC classification:1 Philosophie und Psychologie / 15 Psychologie / 150 Psychologie
3 Sozialwissenschaften / 30 Sozialwissenschaften, Soziologie / 300 Sozialwissenschaften
Peer review:Referiert
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