Un moteur de raisonnement sémantique pour des interactions 3D sensibles au contexte

Abstract : Tasks and contexts of interaction within virtual environments are more and more varied and complex, and sometimes unpredictable. The design of static 3D user interaction techniques is not always adapted. Our researches aim at providing "context-aware" 3DUI. Having analyzed several solutions and knowledge representation and reasoning methods, we conceived and developed a generic decision engine. Knowledge representation is based on an ontology and Conceptual Graphs. Semantic reasoning uses 1st order logic. It can communicate with existing applications through a set of software tools: the information of context is gathered by sensors, whereas the multimodal assistance is realized by effectors. This process was applied for the adaptive assistance to the selection of objects, and for the offline analysis of activity.
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https://hal.archives-ouvertes.fr/hal-01326800
Contributor : Frédéric Davesne <>
Submitted on : Tuesday, April 3, 2018 - 2:28:34 PM
Last modification on : Monday, October 28, 2019 - 10:50:22 AM

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Yannick Dennemont, Guillaume Bouyer. Un moteur de raisonnement sémantique pour des interactions 3D sensibles au contexte. Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, Lavoisier, 2015, 29 (6), pp.705--736. ⟨10.3166/RIA.29.705-736⟩. ⟨hal-01326800⟩

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