Do smartphone usage scales predict behavior?

Ellis, David and Davidson, Brittany and Shaw, Heather and Geyer, Kristoffer (2019) Do smartphone usage scales predict behavior? International Journal of Human-Computer Studies, 130. pp. 86-92. ISSN 1071-5819

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Abstract

Understanding how people use technology remains important, particularly when measuring the impact this might have on individuals and society. However, despite a growing body of resources that can quantify smartphone use, research within psychology and social science overwhelmingly relies on self-reported assessments. These have yet to convincingly demonstrate an ability to predict objective behavior. Here, and for the first time, we compare a variety of smartphone use and ‘addiction’ scales with objective behaviors derived from Apple’s Screen Time application. While correlations between psychometric scales and objective behavior are generally poor, single estimates and measures that attempt to frame technology use as habitual rather than ‘addictive’ correlate more favorably with subsequent behavior. We conclude that existing self-report instruments are unlikely to be sensitive enough to accurately predict basic technology use related behaviors. As a result, conclusions regarding the psychological impact of technology are unreliable when relying solely on these measures to quantify typical usage.

Item Type:
Journal Article
Journal or Publication Title:
International Journal of Human-Computer Studies
Additional Information:
This is the author’s version of a work that was accepted for publication in International Journal of Human-Computer Studies. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in International Journal of Human-Computer Studies, 130, 2019 DOI: 10.1016/j.ijhcs.2019.05.004
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1709
Subjects:
ID Code:
133310
Deposited By:
Deposited On:
01 May 2019 10:55
Refereed?:
Yes
Published?:
Published
Last Modified:
22 Nov 2020 06:28