TY - JOUR
T1 - Understanding the determinants of digital distraction
T2 - An automatic thinking behavior perspective
AU - Chen, Leida
AU - Nath, Ravi
AU - Tang, Zhenya
PY - 2020/3
Y1 - 2020/3
N2 - Digital distraction is a prevalent technology-use behavior that has received increasing public attention in the recent years. This study draws on the theory of automatic thinking behaviors to identify factors that influence individuals' digital distraction intensity. The results of a survey involving 426 U.S. university students reveal that attentional impulsiveness, Internet addiction, and habitual technology use influence the intensity of digital distraction positively. Also, individuals’ impulsive personality traits and habit are shown to positively influence Internet addiction levels. These findings not only provide a theoretical explanation of the digital distraction phenomenon from the perspective of automatic thinking behaviors but also offer valuable insights for combatting digital distraction.
AB - Digital distraction is a prevalent technology-use behavior that has received increasing public attention in the recent years. This study draws on the theory of automatic thinking behaviors to identify factors that influence individuals' digital distraction intensity. The results of a survey involving 426 U.S. university students reveal that attentional impulsiveness, Internet addiction, and habitual technology use influence the intensity of digital distraction positively. Also, individuals’ impulsive personality traits and habit are shown to positively influence Internet addiction levels. These findings not only provide a theoretical explanation of the digital distraction phenomenon from the perspective of automatic thinking behaviors but also offer valuable insights for combatting digital distraction.
UR - http://www.scopus.com/inward/record.url?scp=85075066114&partnerID=8YFLogxK
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U2 - 10.1016/j.chb.2019.106195
DO - 10.1016/j.chb.2019.106195
M3 - Article
AN - SCOPUS:85075066114
VL - 104
JO - Computers in Human Behavior
JF - Computers in Human Behavior
SN - 0747-5632
M1 - 106195
ER -