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Identifying indicators of smartphone addiction through user-app interaction

Noe, Beryl, Turner, Liam D. ORCID:, Linden, David E. J. ORCID:, Allen, Stuart M. ORCID:, Winkens, Bjorn and Whitaker, Roger M. ORCID: 2019. Identifying indicators of smartphone addiction through user-app interaction. Computers in Human Behavior 99 , pp. 56-65. 10.1016/j.chb.2019.04.023

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We introduce a new approach to monitoring the activity of smartphone users based on their physical interactions with the interface. Typical events are taps, scrolling and typing, carried out to interact with apps. As compared to other measures, this directly encapsulates potential problematic physical smartphone behaviour as a signal. The approach contrasts against conventions such as self-reporting or timing activity sessions, and it focusses on active rather than passive smartphone activity. Using this alternative method, we collected all user interface interaction events from a sample of 64 participants over a period of 8 weeks, using a bespoke monitoring app called Tymer. User Smartphone Addiction was seen to significantly correlate with high levels of interaction with Lifestyle apps, particularly for female users. Interactions with Social apps in general were also associated with Smartphone Addiction. In particular, user interactions with Snapchat correlated with Smartphone Addiction, represented across all types of interface interaction. This is significant given the widespread usage of Snapchat by teenagers, and we hypothesise that the app's design provides a particularly strong pathway in support of Smartphone Addiction.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Publisher: Elsevier
ISSN: 0747-5632
Funders: Wellcome Trust
Date of First Compliant Deposit: 20 May 2019
Date of Acceptance: 29 April 2019
Last Modified: 26 Jun 2024 01:06

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