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Evidence to support common application switching behaviour on smartphones

We find evidence to support common behaviour in smartphone usage based on analysis of application (app) switching. This is an overlooked aspect of smartphone usage that gives additional insight beyond screen time and the particular apps that are accessed. Using a dataset of usage behaviour from 53 p...

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Detalles Bibliográficos
Autores principales: Turner, Liam D., Whitaker, Roger M., Allen, Stuart M., Linden, David E. J., Tu, Kun, Li, Jian, Towsley, Don
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6458403/
https://www.ncbi.nlm.nih.gov/pubmed/31032058
http://dx.doi.org/10.1098/rsos.190018
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author Turner, Liam D.
Whitaker, Roger M.
Allen, Stuart M.
Linden, David E. J.
Tu, Kun
Li, Jian
Towsley, Don
author_facet Turner, Liam D.
Whitaker, Roger M.
Allen, Stuart M.
Linden, David E. J.
Tu, Kun
Li, Jian
Towsley, Don
author_sort Turner, Liam D.
collection PubMed
description We find evidence to support common behaviour in smartphone usage based on analysis of application (app) switching. This is an overlooked aspect of smartphone usage that gives additional insight beyond screen time and the particular apps that are accessed. Using a dataset of usage behaviour from 53 participants over a six-week period, we find strong similarity in the structure of networks built from app switching, despite diversity in the apps used, and the volume of app switching. App switch networks exhibit small-world, broad-scale network features, with a rapid popularity decay, suggesting that preferential attachment may drive next-app decision-making.
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spelling pubmed-64584032019-04-26 Evidence to support common application switching behaviour on smartphones Turner, Liam D. Whitaker, Roger M. Allen, Stuart M. Linden, David E. J. Tu, Kun Li, Jian Towsley, Don R Soc Open Sci Computer Science We find evidence to support common behaviour in smartphone usage based on analysis of application (app) switching. This is an overlooked aspect of smartphone usage that gives additional insight beyond screen time and the particular apps that are accessed. Using a dataset of usage behaviour from 53 participants over a six-week period, we find strong similarity in the structure of networks built from app switching, despite diversity in the apps used, and the volume of app switching. App switch networks exhibit small-world, broad-scale network features, with a rapid popularity decay, suggesting that preferential attachment may drive next-app decision-making. The Royal Society 2019-03-20 /pmc/articles/PMC6458403/ /pubmed/31032058 http://dx.doi.org/10.1098/rsos.190018 Text en © 2019 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Computer Science
Turner, Liam D.
Whitaker, Roger M.
Allen, Stuart M.
Linden, David E. J.
Tu, Kun
Li, Jian
Towsley, Don
Evidence to support common application switching behaviour on smartphones
title Evidence to support common application switching behaviour on smartphones
title_full Evidence to support common application switching behaviour on smartphones
title_fullStr Evidence to support common application switching behaviour on smartphones
title_full_unstemmed Evidence to support common application switching behaviour on smartphones
title_short Evidence to support common application switching behaviour on smartphones
title_sort evidence to support common application switching behaviour on smartphones
topic Computer Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6458403/
https://www.ncbi.nlm.nih.gov/pubmed/31032058
http://dx.doi.org/10.1098/rsos.190018
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