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Identifying Indicators of Smartphone Addiction Through User-App Interaction

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 physic...

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Detalles Bibliográficos
Autores principales: Noë, Beryl, Turner, Liam D., Linden, David E.J., Allen, Stuart M., Winkens, Bjorn, Whitaker, Roger M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6686626/
https://www.ncbi.nlm.nih.gov/pubmed/31582873
http://dx.doi.org/10.1016/j.chb.2019.04.023
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author Noë, Beryl
Turner, Liam D.
Linden, David E.J.
Allen, Stuart M.
Winkens, Bjorn
Whitaker, Roger M.
author_facet Noë, Beryl
Turner, Liam D.
Linden, David E.J.
Allen, Stuart M.
Winkens, Bjorn
Whitaker, Roger M.
author_sort Noë, Beryl
collection PubMed
description 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.
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spelling pubmed-66866262019-10-01 Identifying Indicators of Smartphone Addiction Through User-App Interaction Noë, Beryl Turner, Liam D. Linden, David E.J. Allen, Stuart M. Winkens, Bjorn Whitaker, Roger M. Comput Human Behav Article 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. Elsevier Ltd 2019-10 /pmc/articles/PMC6686626/ /pubmed/31582873 http://dx.doi.org/10.1016/j.chb.2019.04.023 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Noë, Beryl
Turner, Liam D.
Linden, David E.J.
Allen, Stuart M.
Winkens, Bjorn
Whitaker, Roger M.
Identifying Indicators of Smartphone Addiction Through User-App Interaction
title Identifying Indicators of Smartphone Addiction Through User-App Interaction
title_full Identifying Indicators of Smartphone Addiction Through User-App Interaction
title_fullStr Identifying Indicators of Smartphone Addiction Through User-App Interaction
title_full_unstemmed Identifying Indicators of Smartphone Addiction Through User-App Interaction
title_short Identifying Indicators of Smartphone Addiction Through User-App Interaction
title_sort identifying indicators of smartphone addiction through user-app interaction
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6686626/
https://www.ncbi.nlm.nih.gov/pubmed/31582873
http://dx.doi.org/10.1016/j.chb.2019.04.023
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