Fatigue, boredom and objectively measured smartphone use at work

被引:11
作者
Dora, Jonas [1 ]
van Hooff, Madelon [1 ]
Geurts, Sabine [1 ]
Kompier, Michiel [1 ]
Bijleveld, Erik [1 ]
机构
[1] Radboud Univ Nijmegen, Inst Behav Sci, Nijmegen, Netherlands
关键词
smartphone use; phenomenology; motivation; opportunity costs; work; MENTAL FATIGUE; MODEL; COST;
D O I
10.1098/rsos.201915
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Nowadays, many people take short breaks with their smartphone at work. The decision whether to continue working or to take a smartphone break is a so-called labour versus leisure decision. Motivational models predict that people are more likely to switch from labour (work) to leisure (smartphone) the more fatigue or boredom they experience. In turn, fatigue and boredom are expected to decrease after the smartphone was used. However, it is not yet clear how smartphone use at work relates to fatigue and boredom. In this study, we tested these relationships in both directions. Participants (n = 83, all PhD candidates) reported their current level of fatigue and boredom every hour at work while an application continuously logged their smartphone use. Results indicate that participants were more likely to interact with their smartphone the more fatigued or bored they were, but that they did not use it for longer when more fatigued or bored. Surprisingly, participants reported increased fatigue and boredom after having used the smartphone (more). While future research is necessary, our results (i) provide real-life evidence for the notion that fatigue and boredom are temporally associated with task disengagement, and (ii) suggest that taking a short break with the smartphone may have phenomenological costs.
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页数:16
相关论文
共 43 条
[1]   Random effects structure for confirmatory hypothesis testing: Keep it maximal [J].
Barr, Dale J. ;
Levy, Roger ;
Scheepers, Christoph ;
Tily, Harry J. .
JOURNAL OF MEMORY AND LANGUAGE, 2013, 68 (03) :255-278
[2]   Mental fatigue: Costs and benefits [J].
Boksem, Maarten A. S. ;
Tops, Mattie .
BRAIN RESEARCH REVIEWS, 2008, 59 (01) :125-139
[3]  
Buddharaju P., 2011, CHI 11 EXT ABSTR HUM, P2041
[4]   brms: An R Package for Bayesian Multilevel Models Using Stan [J].
Buerkner, Paul-Christian .
JOURNAL OF STATISTICAL SOFTWARE, 2017, 80 (01) :1-28
[5]   Associations between Self-Reports and Device-Reports of Social Networking Site Use: An Application of the Truth and Bias Model [J].
Burnell, Kaitlyn ;
George, Madeleine J. ;
Kurup, Allycen R. ;
Underwood, Marion K. ;
Ackerman, Robert A. .
COMMUNICATION METHODS AND MEASURES, 2021, 15 (02) :156-163
[6]   The flipside of ubiquitous connectivity enabled by smartphone-based social networking service: Social presence and privacy concern [J].
Choi, Sujeong .
COMPUTERS IN HUMAN BEHAVIOR, 2016, 65 :325-333
[7]  
Dora J., J EXP PSYCHOL GEN, DOI [10.31234/osf.io/3765s, DOI 10.31234/OSF.IO/3765S]
[8]   Characterizing Work-Related Smartphone Use at Home and Private Smartphone Use at Work Using Latent Class Analysis [J].
Dora, Jonas ;
van Hooff, Madelon L. M. ;
Geurts, Sabine A. E. ;
Hooftman, Wendela E. ;
Kompier, Michiel A. J. .
OCCUPATIONAL HEALTH SCIENCE, 2019, 3 (02) :187-203
[9]   The Unengaged Mind: Defining Boredom in Terms of Attention [J].
Eastwood, John D. ;
Frischen, Alexandra ;
Fenske, Mark J. ;
Smilek, Daniel .
PERSPECTIVES ON PSYCHOLOGICAL SCIENCE, 2012, 7 (05) :482-495
[10]   Proneness to Boredom Mediates Relationships Between Problematic Smartphone Use With Depression and Anxiety Severity [J].
Elhai, Jon D. ;
Vasquez, Juanita K. ;
Lustgarten, Samuel D. ;
Levine, Jason C. ;
Hall, Brian J. .
SOCIAL SCIENCE COMPUTER REVIEW, 2018, 36 (06) :707-720