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Utilising the co-occurrence of user interface interactions as a risk indicator for smartphone addiction

Friedrichs, Björn, Turner, Liam ORCID: https://orcid.org/0000-0003-4877-5289 and Allen, Stuart ORCID: https://orcid.org/0000-0003-1776-7489 2022. Utilising the co-occurrence of user interface interactions as a risk indicator for smartphone addiction. Pervasive and Mobile Computing 86 , 101677.

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Abstract

The push to a connected world where people carry an always-online device which has been designed to max- imise instant gratification and prompts users via notifications has lead to a surge of potentially problematic behaviour as a result. This has lead to a rising interest in addressing and understanding the addictiveness of smartphone usage, as well as for particular applications (apps). However, capturing addiction from us- age involves not only assessment of potential addiction risk but also requires understanding of the complex interactions that define user behaviour and how these can be effectively isolated and summarised. In this paper, we examine the correlation of physical user interface (UI) interactions (e.g. taps and scrolls) and smartphone addiction risk using a large dataset of those smartphone events (65,093,343, N=301,024 ses- sions) collected from 64 users over an 8-week period with an accompanying smartphone addiction survey. Our novel method which reports on the probability of a users addiction risk and in a model case we show how it was be used to identify 57 of 64 users correctly. This supports our observations of UI events during sessions of usage being indicative of addiction risk while improving previous approaches which rely on summative data such as screen on time. Within this we also find that users only exhibit addictive behaviour in a subset of all sessions while using their smartphone.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Uncontrolled Keywords: smartphone addiction, smartphone usage, user behaviour, addiction risk
Additional Information: This is an open access article under the CC BY license (http://creativecommons.org/ licenses/by/4.0/)
Publisher: Elsevier
ISSN: 1574-1192
Date of First Compliant Deposit: 10 August 2022
Date of Acceptance: 5 August 2022
Last Modified: 30 Nov 2022 08:32
URI: https://orca.cardiff.ac.uk/id/eprint/151857

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