Trace-Based Decision Making in Interactive Application: Case of Tamagotchi systems

Abstract : — We present our exploratory work for situation preselecting in interactive applications, assuming that the application is an Interactive Adaptive System based on a sequence of contextualized "situations". Each situation confines activities and interactions related to a common context, resources and system actors. When one situation is completed, the system has to determine which is the best following one. We introduce in this paper a new preselecting method that identifies possible next situations among all available situations. We propose a strategy using Naïve Bayes based on the analysis of the sets of available traces (the past of users). Combining all obtained results, we get a set of situations, called set of alternatives that can be used in any decision algorithm. We demonstrate our approach on a case study based on Tamagotchi game.
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Communication dans un congrès
IEEE International Conference on Control, Decision and Information Technologies, Nov 2014, Metz, France. pp.123-127
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Contributeur : Hoang-Nam Ho <>
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Hoang Nam Ho, Mourad Rabah, Samuel Nowakowski, Pascal Estraillier. Trace-Based Decision Making in Interactive Application: Case of Tamagotchi systems. IEEE International Conference on Control, Decision and Information Technologies, Nov 2014, Metz, France. pp.123-127. 〈hal-01088140〉

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