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International audience ; The next generation of virtual environments for training is oriented towards collaborative aspects. Therefore, we have decided to enhance our platform for virtual training environments, adding collaboration opportunities and integrating humanoids. In this paper we put forward a model of humanoid that suits both virtual humans and representations of real users, according to collaborative training activities. We suggest adaptations to the scenario model of our platform making it possible to write collaborative procedures. We introduce a mechanism of action selection made up of a global repartition and an individual choice. These models are currently being integrated and validated in GVT, a virtual training tool for maintenance of military equipments, developed in collaboration with the French company NEXTER-Group.

International audience ; The next generation of virtual environments for training is oriented towards collaborative aspects. Therefore, we have decided to enhance our platform for virtual training environments, adding collaboration opportunities and integrating humanoids. In this paper we put forward a model of humanoid that suits both virtual humans and representations of real users, according to collaborative training activities. We suggest adaptations to the scenario model of our platform making it possible to write collaborative procedures. We introduce a mechanism of action selection made up of a global repartition and an individual choice. These models are currently being integrated and validated in GVT, a virtual training tool for maintenance of military equipments, developed in collaboration with the French company NEXTER-Group.

International audience ; The next generation of virtual environments for training is oriented towards collaborative aspects. Therefore, we have decided to enhance our platform for virtual training environments, adding collaboration opportunities and integrating humanoids. In this paper we put forward a model of humanoid that suits both virtual humans and representations of real users, according to collaborative training activities. We suggest adaptations to the scenario model of our platform making it possible to write collaborative procedures. We introduce a mechanism of action selection made up of a global repartition and an individual choice. These models are currently being integrated and validated in GVT, a virtual training tool for maintenance of military equipments, developed in collaboration with the French company NEXTER-Group.

International audience ; The use of Virtual Environments for Training is strongly stimulated by important needs for training on sensitive equipments. Yet, developing such an application is often done without reusing existing components, which requires a huge amount of time. We present in this paper a full authoring platform to facilitate the development of both new virtual environments and pedagogical information for procedural training. This platform, named GVT (Generic Virtual Training) relies on innovative models and provides authoring tools which allow capitalizing on the developments realized. We present a generic model named STORM, used to describe reusable behaviors for 3D objects and reusable interactions between those objects. We also present a scenario language named LORA which allows non computer scientists to author various and complex sequences of tasks in a virtual scene. Based on those models, as an industrial validation with Nexter-Group, more than fifty operational scenarios of maintenance training on military equipments have been realized so far. We have also set up an assessment campaign, and we will expose in this paper the first results which show that GVT enables trainees to learn procedures efficiently. The platform keeps on evolving and training on collaborative procedures will soon be available.

International audience ; The use of Virtual Environments for Training is strongly stimulated by important needs for training on sensitive equipments. Yet, developing such an application is often done without reusing existing components, which requires a huge amount of time. We present in this paper a full authoring platform to facilitate the development of both new virtual environments and pedagogical information for procedural training. This platform, named GVT (Generic Virtual Training) relies on innovative models and provides authoring tools which allow capitalizing on the developments realized. We present a generic model named STORM, used to describe reusable behaviors for 3D objects and reusable interactions between those objects. We also present a scenario language named LORA which allows non computer scientists to author various and complex sequences of tasks in a virtual scene. Based on those models, as an industrial validation with Nexter-Group, more than fifty operational scenarios of maintenance training on military equipments have been realized so far. We have also set up an assessment campaign, and we will expose in this paper the first results which show that GVT enables trainees to learn procedures efficiently. The platform keeps on evolving and training on collaborative procedures will soon be available.

International audience ; The use of Virtual Environments for Training is strongly stimulated by important needs for training on sensitive equipments. Yet, developing such an application is often done without reusing existing components, which requires a huge amount of time. We present in this paper a full authoring platform to facilitate the development of both new virtual environments and pedagogical information for procedural training. This platform, named GVT (Generic Virtual Training) relies on innovative models and provides authoring tools which allow capitalizing on the developments realized. We present a generic model named STORM, used to describe reusable behaviors for 3D objects and reusable interactions between those objects. We also present a scenario language named LORA which allows non computer scientists to author various and complex sequences of tasks in a virtual scene. Based on those models, as an industrial validation with Nexter-Group, more than fifty operational scenarios of maintenance training on military equipments have been realized so far. We have also set up an assessment campaign, and we will expose in this paper the first results which show that GVT enables trainees to learn procedures efficiently. The platform keeps on evolving and training on collaborative procedures will soon be available.