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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.
Affiliation
  • Turner LD; School of Computer Science & Informatics, Cardiff University, Cardiff, UK.
  • Whitaker RM; Crime and Security Research Institute, Cardiff University, Cardiff, UK.
  • Allen SM; School of Computer Science & Informatics, Cardiff University, Cardiff, UK.
  • Linden DEJ; Crime and Security Research Institute, Cardiff University, Cardiff, UK.
  • Tu K; School of Computer Science & Informatics, Cardiff University, Cardiff, UK.
  • Li J; MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK.
  • Towsley D; Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK.
R Soc Open Sci ; 6(3): 190018, 2019 Mar.
Article in En | MEDLINE | ID: mdl-31032058
ABSTRACT
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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: R Soc Open Sci Year: 2019 Type: Article Affiliation country: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: R Soc Open Sci Year: 2019 Type: Article Affiliation country: United kingdom