Virtual Environments for Training: From Individual Learning to Collaboration with Humanoids

TL;DR

This paper presents an enhanced virtual training platform that incorporates collaborative features and humanoid agents, enabling more effective training scenarios for maintenance tasks in military contexts.

Contribution

It introduces a humanoid model suitable for virtual and real users, along with scenario adaptations for collaborative procedures in virtual environments.

Findings

Humanoid models are integrated and validated in GVT platform.

Collaborative procedures are enabled through scenario adaptations.

Mechanisms for action selection improve training interactions.

Abstract

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.