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Adaptation in Collaborative Virtual Environments for Training

Stéphanie Gerbaud 1 Valérie Gouranton 1 Bruno Arnaldi 1
1 BUNRAKU - Perception, decision and action of real and virtual humans in virtual environments and impact on real environments
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, ENS Cachan - École normale supérieure - Cachan, Inria Rennes – Bretagne Atlantique
Abstract : Virtual environments for training, especially collaborative ones, require adaptability in order to be used in various situations. In this paper, we classify the needs for adaptation into two levels. The first one concerns the application setting. The second one is a dynamic adaptation, at runtime. The models proposed in this paper fulfill these two levels of requirements. Virtual world, virtual humans’ behavior, scenario and application configuration can be adapted to a specific training situation. Moreover, an action selection mechanism enables actors to dynamically adapt their action scheduling to a situation. This situation is defined by a current context, past actions and a goal to achieve, namely a scenario. Finally we validate our models by presenting an illustrative scenario: the collaborative assembly of a piece of furniture.
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Submitted on : Thursday, April 22, 2010 - 11:20:43 AM
Last modification on : Monday, February 15, 2021 - 10:38:25 AM

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Stéphanie Gerbaud, Valérie Gouranton, Bruno Arnaldi. Adaptation in Collaborative Virtual Environments for Training. Edutainment '09: the 4th International Conference on E-Learning and Games, Aug 2009, Banff, Canada. pp.316-327, ⟨10.1007/978-3-642-03364-3_40⟩. ⟨inria-00475579⟩



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