Communications of the ACM
The human-computer interaction handbook: fundamentals, evolving technologies and emerging applications
Emerging research methods for understanding mobile technology use
OZCHI '05 Proceedings of the 17th Australia conference on Computer-Human Interaction: Citizens Online: Considerations for Today and the Future
Reality mining: sensing complex social systems
Personal and Ubiquitous Computing
Anatomizing application performance differences on smartphones
Proceedings of the 8th international conference on Mobile systems, applications, and services
Proceedings of the 8th international conference on Mobile systems, applications, and services
A first look at traffic on smartphones
IMC '10 Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
LiveLab: measuring wireless networks and smartphone users in the field
ACM SIGMETRICS Performance Evaluation Review
Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services
Why are web browsers slow on smartphones?
Proceedings of the 12th Workshop on Mobile Computing Systems and Applications
Characterizing web use on smartphones
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
ScreenPass: secure password entry on touchscreen devices
Proceeding of the 11th annual international conference on Mobile systems, applications, and services
Proceedings of the 2013 International Symposium on Wearable Computers
Capturing mobile experience in the wild: a tale of two apps
Proceedings of the ninth ACM conference on Emerging networking experiments and technologies
WRENMining: Large-Scale Data Collection for Human Contact Network Research
Proceedings of First International Workshop on Sensing and Big Data Mining
Evaluating the Usability of Multimedia, Mobile and Network-Based Products
International Journal of Wireless Networks and Broadband Technologies
O uso de uma rede geossocial nas cidades brasileiras e sua relação com fatores socioeconômicos
Proceedings of the 12th Brazilian Symposium on Human Factors in Computing Systems
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Previous studies have found that smartphone users differ by orders of magnitude. We explore this variability to understand how users install and use native applications in ecologically-valid environments. A quasi-experimental approach is applied to compare how users in different socio-economic status (SES) groups adopt new smartphone technology along with how applications are installed and used. We present a longitudinal study of 34 iPhone 3GS users. 24 of these participants were chosen from two carefully selected SES groups who were otherwise similar and balanced. Usage data collected through an in-device programmable logger, as well as several structured interviews, identify similarities, differences, and trends, and highlight systematic differences in smartphone usage. A group of 10 lower SES participants were later recruited and confirm the influence of SES diversity on device usage. Among our findings are that a large number of applications were uninstalled, lower SES groups spent more money on applications and installed more applications overall, and the lowest SES group perceived the usability of their iPhones poorly in comparison to the other groups. We further discuss the primary reasons behind this low score, and suggest design implications to better support users across SES brackets.