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    Rights statement: This is the author’s version of a work that was accepted for publication in Computers in Human Behavior. 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 Computers in Human Behavior, 97, 2019 DOI: 10.1016/j.chb.2019.03.006

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    Embargo ends: 8/03/20

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Are smartphones really that bad?: Improving the psychological measurement of technology-related behaviors

Research output: Contribution to journalJournal article

Published
<mark>Journal publication date</mark>1/08/2019
<mark>Journal</mark>Computers in Human Behavior
Volume97
Number of pages7
Pages (from-to)60-66
Publication statusPublished
Early online date8/03/19
Original languageEnglish

Abstract

Understanding how people use technology remains important, particularly when measuring the impact this might have on individuals and society. To date, research within psychological science often frames new technology as problematic with overwhelmingly negative consequences. However, this paper argues that the latest generation of psychometric tools, which aim to assess smartphone usage, are unable to capture technology related experiences or behaviors. As a result, many conclusions concerning the psychological impact of technology use remain unsound. Current assessments have also failed to keep pace with new methodological developments and these data-intensive approaches challenge the notion that smartphones and related technologies are inherently problematic. The field should now consider how it might re-position itself conceptually and methodologically given that many ‘addictive’ technologies have long since become intertwined with daily life.

Bibliographic note

This is the author’s version of a work that was accepted for publication in Computers in Human Behavior. 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 Computers in Human Behavior, 97, 2019 DOI: 10.1016/j.chb.2019.03.006