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Learning User Preferences in Ubiquitous Systems: A User Study and a Reinforcement Learning Approach
Abstract : Our study concerns a virtual assistant, proposing services to the user based on its current perceived activity and situation (ambient intelligence). Instead of asking the user to define his preferences, we acquire them automatically using a reinforcement learning approach. Experiments showed that our system succeeded the learning of user preferences. In order to validate the relevance and usability of such a system, we have first conducted a user study. 26 non-expert subjects were interviewed using a model of the final system. This paper presents the methodology of applying reinforcement learning to a real-world problem with experimental results and the conclusions of the user study.
Cited literature [21 references]
https://hal.inria.fr/hal-00788028
Contributor : Sofia Zaidenberg <>
Submitted on : Wednesday, February 13, 2013 - 4:16:52 PM
Last modification on : Thursday, November 19, 2020 - 12:59:53 PM
Long-term archiving on: : Tuesday, May 14, 2013 - 4:02:50 AM
Contributor : Sofia Zaidenberg <>
Submitted on : Wednesday, February 13, 2013 - 4:16:52 PM
Last modification on : Thursday, November 19, 2020 - 12:59:53 PM
Long-term archiving on: : Tuesday, May 14, 2013 - 4:02:50 AM
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Zaidenberg_AIAI2010.pdf
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