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Mobile technology habits: patterns of association among device usage, intertemporal preference, impulse control, and reward sensitivity

Overview of attention for article published in Psychonomic Bulletin & Review, March 2016
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Title
Mobile technology habits: patterns of association among device usage, intertemporal preference, impulse control, and reward sensitivity
Published in
Psychonomic Bulletin & Review, March 2016
DOI 10.3758/s13423-016-1011-z
Pubmed ID
Authors

Henry H. Wilmer, Jason M. Chein

Abstract

Mobile electronic devices are playing an increasingly pervasive role in our daily activities. Yet, there has been very little empirical research investigating how mobile technology habits might relate to individual differences in cognition and affect. The research presented in this paper provides evidence that heavier investment in mobile devices is correlated with a relatively weaker tendency to delay gratification (as measured by a delay discounting task) and a greater inclination toward impulsive behavior (i.e., weaker impulse control, assessed behaviorally and through self-report) but is not related to individual differences in sensitivity to reward. Analyses further demonstrated that individual variation in impulse control mediates the relationship between mobile technology usage and delay of gratification. Although based on correlational results, these findings lend some backing to concerns that increased use of portable electronic devices could have negative impacts on impulse control and the ability to appropriately valuate delayed rewards.

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Mendeley readers

The data shown below were compiled from readership statistics for 282 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
United Kingdom 1 <1%
Unknown 279 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 18%
Student > Master 45 16%
Student > Bachelor 42 15%
Researcher 24 9%
Student > Doctoral Student 13 5%
Other 38 13%
Unknown 70 25%
Readers by discipline Count As %
Psychology 89 32%
Social Sciences 18 6%
Computer Science 15 5%
Business, Management and Accounting 13 5%
Neuroscience 10 4%
Other 46 16%
Unknown 91 32%