https://orcid.org/0000-0001-6659-5252
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ABSTRACT
As smartphones can handle work and leisure activities simultaneously, cyberslacking and the collapse of work-life balance are causing social problems. Hence, in this study we analyzed users’ smartphone usage behavior and the transition pattern between work and non-work behaviors using log data collected automatically from an actual site. The collected log data were divided into four types of sessions according to work-related characteristics. No significant difference was found in frequency, usage time, or app type between work conditions. Additionally, the pattern of consecutively switching between work and non-work conditions more than four times occurred the most. This results in work and non-work behaviors on smartphones being mixed, with chemical convergence beyond the physical level. Thus, we assert that a new method of smartphone management that will selectively block micro-activity within each app is needed beyond self-discipline or existing blocking approaches in the workplace.
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Notes on contributors
Youngchan Jeong
Youngchan Jeong is a Ph.D. candidate of Digital Contents and Information Studies in the Graduate School of Convergence Science and Technology, Seoul National University. His research interests include mobile multitasking, MIM, and ICT4D. He has been managing the ICT4D project with SHIS (NGO in India) for 9 years.
Hyelan Jung
Hyelan Jung is a Ph.D. candidate of Digital Contents and Information Studies in the Graduate School of Convergence Science and Technology, Seoul National University. Her research interests include user experience, information design, and health information. She participated in projects with the Seoul National University Bundang Hospital and Biomedical Research Institute.
Joongseek Lee
Joongseek Lee is a full professor in the Department of Digital Contents and Information Studies, Seoul National University since 2005. He was a Chief Creative Officer (CCO) of Samsung OpenTide which is an IT consulting cooperation (2000-2002). His research interests include information design, user experience, and user behavior analysis.