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Digital generation: the association between daily smartphone app use and well-being

Authors: Schenkel, Konstantin; Nussbeck, Fridtjof W; Kerkhoff, Denny; Scholz, Urte; Keller, Jan; Radtke, Theda;

Digital generation: the association between daily smartphone app use and well-being

Abstract

Smartphones are omnipresent and serve as a tool for various purposes. In Switzerland, more than 90% of the population owns a smartphone and uses it on average around 2.0 to 5 h daily. Smartphone app use is linked with both higher and lower levels of well-being. However, it remains unclear whether smartphone app use is the antecedent or the consequence of well-being. Based on the stimulation (online communication increases well-being) and the displacement (online communication decreases well-being) hypotheses, this study explores how daily smartphone app use and well-being are associated over time. A total of N = 130 employees (M = 35.61; SD = 10.62) participated in a three-week intensive longitudinal study. Daily minutes of different types of smartphone app use (e.g. email apps and chat apps) were tracked by a mobile application. Furthermore, daily self-reports of positive and negative affect were assessed in a morning and end-of day diary. Positive morning affect was negatively associated with the use of email apps. Furthermore, a negative between-person relationship of chat app use with end-of day positive affect was observed. The results are in favour of the displacement hypothesis. Future studies should investigate causal relationships between specific forms of smartphone usage and the user’s well-being.

Countries
Switzerland, Switzerland, Germany, Germany
Keywords

3204 Developmental and Educational Psychology, 10093 Institute of Psychology, displacement hypothesis, 3300 General Social Sciences, affective well-being, type of smartphone app use, 1709 Human-Computer Interaction, stimulation hypothesis, Psychologie, being, 1201 Arts and Humanities (miscellaneous), Mobile tracking, 150 Psychology, affective well

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
hybrid