Abstract
There have been many large-scale investigations of users' mobile app launch behaviour, but all have been conducted on Android, even though recent reports suggest iPhones account for a third of all smartphones in use. We report on the first large-scale analysis of app usage patterns on iPhones. We conduct a reproduction study with a cohort of over 10,000 jailbroken iPhone users, reproducing several studies previously conducted on Android devices. We find some differences, but also significant similarities: e.g. communications apps are the most used on both platforms; similar patterns are apparent of few apps being very popular but there existing a 'long tail' of many apps used by the population; users show similar patterns of 'micro-usage'; almost identical proportions of people use a unique combination of apps. Such similarities add confidence but also specificity about claims of consistency across smartphones. As well as presenting our findings, we discuss issues involved in reproducing studies across platforms.
Original language | English |
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Title of host publication | CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems |
Subtitle of host publication | Engage with CHI |
Place of Publication | New York |
Publisher | ACM |
Pages | 1-13 |
Number of pages | 13 |
ISBN (Electronic) | 9781450356206, 9781450356213 |
DOIs | |
Publication status | Published - 20 Apr 2018 |
Externally published | Yes |
Event | 2018 ACM Conference on Human Factors in Computing Systems - Palais des Congrès de Montréal, Montréal, Canada Duration: 21 Apr 2018 → 26 Apr 2018 https://chi2018.acm.org/ |
Publication series
Name | Conference on Human Factors in Computing Systems - Proceedings |
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Volume | 2018-April |
Conference
Conference | 2018 ACM Conference on Human Factors in Computing Systems |
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Abbreviated title | CHI 2018 |
Country/Territory | Canada |
City | Montréal |
Period | 21/04/18 → 26/04/18 |
Internet address |
Keywords
- App launches
- IOS
- IPhone
- Large-scale
- Methodology
- Mobile HCI
- Privacy
- Smartphone usage
- Usage patterns