Trace-Based Decision Making in Interactive Application: Case of Tamagotchi systems
| Autor: | Mourad Rabah, Hoang Nam Ho, Pascal Estraillier, Samuel Nowakowski |
|---|---|
| Přispěvatelé: | Laboratoire Informatique, Image et Interaction - EA 2118 (L3I), Université de La Rochelle (ULR), Knowledge Information and Web Intelligence (KIWI), Department of Complex Systems, Artificial Intelligence & Robotics (LORIA - AIS), Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Ho, Hoang-Nam, La Rochelle Université (ULR) |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Computer science
Bayesian probability preselection Context (language use) 02 engineering and technology Multi-Criteria Decision Making Machine learning computer.software_genre 01 natural sciences 010104 statistics & probability Naive Bayes classifier 020204 information systems Adaptive system 0202 electrical engineering electronic engineering information engineering situations [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC] 0101 mathematics — interactive adaptive system Set (psychology) TRACE (psycholinguistics) Sequence business.industry traces Artificial intelligence [INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC] business computer |
| Zdroj: | IEEE International Conference on Control, Decision and Information Technologies IEEE International Conference on Control, Decision and Information Technologies, Nov 2014, Metz, France. pp.123-127 CoDIT |
| Popis: | International audience; — 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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