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21173 A Self-Learning Personalized Feedback Agent for Motivating Physical Activity
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op den Akker, H. and Moualed, L.S. and Jones, V.M. and Hermens, H.J. (2011) A Self-Learning Personalized Feedback Agent for Motivating Physical Activity. (Invited) In: Proceedings of ISABEL 2011: the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, 26-29 Oct 2011, Barcelona, Spain. 147. ACM. ISBN 978-1-4503-0913-4

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Official URL: http://dx.doi.org/10.1145/2093698.2093845

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Abstract

An important aspect in the treatment of various chronic diseases is to optimise physical activity levels. We present a general approach for the implementation of an electronic Feedback Agent that serves as a personal coach for achieving and maintaining a healthy level of physical activity through sustainable behavioural change. The Feedback Agent is a self-learning, context aware, personalized software agent that runs on the user's Smartphone and uses an external inertial sensor to keep track of the user's level of physical activity throughout the day. We highlight the three important aspects of feedback in our framework: the timing, content and representation of given feedback messages. Tailoring and optimization of feedback timing and content is in an advanced stage of research, while the representation aspect is largely a matter of future work.

Item Type:Conference or Workshop Paper (Full Paper, Invited/Keynote Talk)
Research Group:EWI-BSS: Biomedical Signals and Systems
Research Program:CTIT-ASSIST: Applied Science of Services for Information Society Technologies
Research Project:IS-ACTIVE: Inertial Sensing Systems for Advanced Chronic Condition Monitoring and Risk Prevention
ID Code:21173
Status:Published
Deposited On:26 January 2012
Refereed:No
International:Yes
More Information:statisticsmetis

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