Modeling and real-time feedback of collaboration in virtual reality using multimodal signals
Résumé
Issues in surgery can be related to collaboration problems such as miscommunication and misunderstanding. Analysis of these collaborative situations can be done by experts, but it is a long and complex process. Moreover, this approach does not allow for real-time analysis and feedback on the collaboration. Some recent approaches aim to assess and model the quality of collaboration using measures that can be computed in real-time (e.g., non-verbal, gaze, physiological data). Considering some of the challenges related to the evaluation and modeling of collaboration, we are working on a tool that aims to compute metrics in real-time to report on the quality of collaboration within a group. This would allow us to act before a critical situation emerges. We first apply this tool to a collaboration situation in a virtual environment to test their effectiveness and their effects on the situation before applying them in a real situation as surgery.
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