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CHI
2008
ACM

Activity sensing in the wild: a field trial of ubifit garden

10 years 11 months ago
Activity sensing in the wild: a field trial of ubifit garden
Recent advances in small inexpensive sensors, low-power processing, and activity modeling have enabled applications that use on-body sensing and machine learning to infer people's activities throughout everyday life. To address the growing rate of sedentary lifestyles, we have developed a system, UbiFit Garden, which uses these technologies and a personal, mobile display to encourage physical activity. We conducted a 3-week field trial in which 12 participants used the system and report findings focusing on their experiences with the sensing and activity inference. We discuss key implications for systems that use on-body sensing and activity inference to encourage physical activity. Author Keywords persuasive technology, sensing, activity inference, mobile phone, ambient display, fitness, activity-based applications. ACM Classification Keywords H.5.2 User Interfaces, H.5.m Miscellaneous.
Sunny Consolvo, David W. McDonald, Tammy Toscos, M
Added 30 Nov 2009
Updated 30 Nov 2009
Type Conference
Year 2008
Where CHI
Authors Sunny Consolvo, David W. McDonald, Tammy Toscos, Mike Y. Chen, Jon Froehlich, Beverly L. Harrison, Predrag V. Klasnja, Anthony LaMarca, Louis LeGrand, Ryan Libby, Ian E. Smith, James A. Landay
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