Modeling and real-time feedback of collaboration in virtual reality using multimodal signals - Archive ouverte HAL
Communication Dans Un Congrès Année : 2023

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.
Fichier principal
Vignette du fichier
Lechappe2023.pdf (260.64 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Licence

Dates et versions

hal-04494775 , version 1 (07-03-2024)

Licence

Identifiants

  • HAL Id : hal-04494775 , version 1

Citer

Aurélien Léchappé, Cédric Fleury, Mathieu Chollet, Cédric Dumas. Modeling and real-time feedback of collaboration in virtual reality using multimodal signals. ECCE 2023: European Conference on Cognitive Ergonomics, Swansea University, Sep 2023, Swansea, United Kingdom. ⟨hal-04494775⟩
66 Consultations
51 Téléchargements

Partager

More