PeopleGarden: creating data portraits for users
Proceedings of the 12th annual ACM symposium on User interface software and technology
Digital family portraits: supporting peace of mind for extended family members
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Semi-public displays for small, co-located groups
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Investigating health management practices of individuals with diabetes
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
MAHI: investigation of social scaffolding for reflective thinking in diabetes management
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Activity sensing in the wild: a field trial of ubifit garden
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Analysis of chewing sounds for dietary monitoring
UbiComp'05 Proceedings of the 7th international conference on Ubiquitous Computing
Fish'n'Steps: encouraging physical activity with an interactive computer game
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
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In the last decade novel sensing technologies enabled development of applications that help individuals with chronic diseases monitor their health and activities. These applications often generate large volumes of data that need to be processed and analyzed. At the same time, many of these applications target non-professionals and individuals of advanced age and low educational level. These users may find the data collected by the applications challenging and overwhelming, rather than helpful, and may require additional assistance in interpreting it. In this article we discuss two different approaches to designing computing applications that not only collect the relevant health and wellness data but also find creative ways to engage individuals in the analysis and assist with interpretation of the data.