Mobile Device Profiling and Intrusion Detection Using Smart Batteries
HICSS '08 Proceedings of the Proceedings of the 41st Annual Hawaii International Conference on System Sciences
Crowdsourcing user studies with Mechanical Turk
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Context-aware Battery Management for Mobile Phones
PERCOM '08 Proceedings of the 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications
Understanding human-battery interaction on mobile phones
Proceedings of the 9th international conference on Human computer interaction with mobile devices and services
Using mobile phones to determine transportation modes
ACM Transactions on Sensor Networks (TOSN)
Crowdsourcing graphical perception: using mechanical turk to assess visualization design
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
MAUI: making smartphones last longer with code offload
Proceedings of the 8th international conference on Mobile systems, applications, and services
The challenges in large-scale smartphone user studies
Proceedings of the 2nd ACM International Workshop on Hot Topics in Planet-scale Measurement
CODES/ISSS '10 Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
Understanding human-smartphone concerns: a study of battery life
Pervasive'11 Proceedings of the 9th international conference on Pervasive computing
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
Revisiting human-battery interaction with an interactive battery interface
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
Evaluation of challenges in human subject studies "in-the-wild" using subjects' personal smartphones
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
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User studies with mobile devices have typically been cumbersome, since researchers have had to recruit participants, hand out or configure devices, and offer incentives and rewards. The increasing popularity of application stores has allowed researchers to use such mechanisms to recruit participants and conduct large-scale studies in authentic settings with relatively little effort. Most researchers who use application stores do not consider the side-effects or biases that such an approach may introduce. The authors summarize prior work that has reported experiences from using application stores as a recruiting, distribution and study mechanism, and also present a case study of a 4-week long study using the Android Market to deploy an application to over 4000 users that collected data on their mobile phone charging habits. The authors synthesize their own experiences with prior reported findings to discuss the challenges, advantages, limitations and considerations of using application stores as a recruitment and distribution approach for conducting large-scale studies.