Social Serendipity: Mobilizing Social Software
IEEE Pervasive Computing
MyExperience: a system for in situ tracing and capturing of user feedback on mobile phones
Proceedings of the 5th international conference on Mobile systems, applications and services
EmotionSense: a mobile phones based adaptive platform for experimental social psychology research
Proceedings of the 12th ACM international conference on Ubiquitous computing
Proceedings of the 12th ACM international conference adjunct papers on Ubiquitous computing - Adjunct
A survey of mobile phone sensing
IEEE Communications Magazine
Alone Together: Why We Expect More from Technology and Less from Each Other
Alone Together: Why We Expect More from Technology and Less from Each Other
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Getting closer: an empirical investigation of the proximity of user to their smart phones
Proceedings of the 13th international conference on Ubiquitous computing
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
Journal of Systems Architecture: the EUROMICRO Journal
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As smart mobile phones permeate society, so too does the opportunity to use these technologies to unobtrusively capture patterns of daily life and interact with people in situ. The ability to record facets of daily life has given rise to the notion of the quantified self; researchers operating at the intersection of computer and social science are now seeking to understand how these mobiles' data can aide the design of health interventions and inform future psychological and social science research. However, current systems are not fully effortless: they require users to interrupt their activities in order to initiate the recording, annotation, or journaling of their experiences. Suitably seeking users' attention and incentivising them to engage with, for example, health applications, continues to be a main obstacle to the adoption of these services. In this work, we describe the design of a new application that seeks user feedback about their gastrointestinal health in an idle moment: when the user is sitting on the toilet. We describe the application's design, the health insights it provides (and, particularly, why it is not designed as a diagnostic tool), as well as early data that the system has collected. We close by discussing the opportunity that idle moments present for future health intervention applications.