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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2019
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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. |
format | Online Article Text |
id | pubmed-6458403 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
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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