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

Identifieur interne : 000819 ( Hal/Checkpoint ); précédent : 000818; suivant : 000820

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

Auteurs : Hoang Nam Ho [France] ; Mourad Rabah [France] ; Samuel Nowakowski [France] ; Pascal Estraillier [France]

Source :

RBID : Hal:hal-01088140

English descriptors

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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Hal:hal-01088140

Le document en format XML

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<div type="abstract" xml:lang="en">— 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.</div>
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<idno type="halRefHtml">IEEE International Conference on Control, Decision and Information Technologies, Nov 2014, Metz, France. pp.123-127</idno>
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<idno type="stamp" n="UNIV-ROCHELLE">Université de la Rochelle</idno>
<idno type="stamp" n="LORIA2">Publications du LORIA</idno>
<idno type="stamp" n="LORIA-CSAI" p="LORIA">Systèmes complexes et intelligence artificielle</idno>
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<idno type="stamp" n="UNIV-LORRAINE">Université de Lorraine</idno>
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<title xml:lang="en">Trace-Based Decision Making in Interactive Application: Case of Tamagotchi systems</title>
<author role="aut">
<persName>
<forename type="first">Hoang Nam</forename>
<surname>Ho</surname>
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<email>hoang_nam.ho@univ-lr.fr</email>
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<author role="aut">
<persName>
<forename type="first">Mourad</forename>
<surname>Rabah</surname>
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<email>mourad.rabah@univ-lr.fr</email>
<idno type="idHal">mourad-rabah</idno>
<idno type="halAuthorId">796839</idno>
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<author role="aut">
<persName>
<forename type="first">Samuel</forename>
<surname>Nowakowski</surname>
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<email>samuel.nowakowski@loria.fr</email>
<idno type="halAuthorId">594800</idno>
<affiliation ref="#struct-206039"></affiliation>
</author>
<author role="aut">
<persName>
<forename type="first">Pascal</forename>
<surname>Estraillier</surname>
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<email>pascal.estraillier@univ-lr.fr</email>
<idno type="halAuthorId">307568</idno>
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<title>IEEE International Conference on Control, Decision and Information Technologies</title>
<date type="start">2014-11-03</date>
<date type="end">2014-11-05</date>
<settlement>Metz</settlement>
<country key="FR">France</country>
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<term xml:lang="en">— interactive adaptive system</term>
<term xml:lang="en">preselection</term>
<term xml:lang="en">situations</term>
<term xml:lang="en">traces</term>
<term xml:lang="en">Bayesian probability</term>
<term xml:lang="en">Multi-Criteria Decision Making</term>
</keywords>
<classCode scheme="halDomain" n="info.info-hc">Computer Science [cs]/Human-Computer Interaction [cs.HC]</classCode>
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<abstract xml:lang="en">— 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.</abstract>
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