Abstract
This paper presents the design, implementation and evaluation of a context-aware recommendation system that promotes the adoption of a healthy and active lifestyle. A Smartphone application that provides personalized and contextualized advice based on geo information, weather, user location and agenda was developed and evaluated by a user study. The results show the potential of this mobile application in triggering behavior change by suggesting simple daily activities.
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© 2011 Springer-Verlag Berlin Heidelberg
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Lin, Y., Jessurun, J., de Vries, B., Timmermans, H. (2011). Motivate: Context Aware Mobile Application for Activity Recommendation. In: Keyson, D.V., et al. Ambient Intelligence. AmI 2011. Lecture Notes in Computer Science, vol 7040. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25167-2_27
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DOI: https://doi.org/10.1007/978-3-642-25167-2_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25166-5
Online ISBN: 978-3-642-25167-2
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