Effects of Collaborative Training Using Virtual Co-embodiment on Motor Skill Learning.
Journal
IEEE transactions on visualization and computer graphics
ISSN: 1941-0506
Titre abrégé: IEEE Trans Vis Comput Graph
Pays: United States
ID NLM: 9891704
Informations de publication
Date de publication:
22 Feb 2023
22 Feb 2023
Historique:
entrez:
7
4
2023
pubmed:
8
4
2023
medline:
8
4
2023
Statut:
aheadofprint
Résumé
Virtual reality (VR) is a promising tool for motor skill learning. Previous studies have indicated that observing and following a teacher's movements from a first-person perspective using VR facilitates motor skill learning. Conversely, it has also been pointed out that this learning method makes the learner so strongly aware of the need to follow that it weakens their sense of agency (SoA) for motor skills and prevents them from updating the body schema, thereby preventing long-term retention of motor skills. To address this problem, we propose applying "virtual co-embodiment" to motor skill learning. Virtual co-embodiment is a system in which a virtual avatar is controlled based on the weighted average of the movements of multiple entities. Because users in virtual co-embodiment overestimate their SoA, we hypothesized that learning using virtual co-embodiment with a teacher would improve motor skill retention. In this study, we focused on learning a dual task to evaluate the automation of movement, which is considered an essential element of motor skills. As a result, learning in virtual co-embodiment with the teacher improves motor skill learning efficiency compared with sharing the teacher's first-person perspective or learning alone.
Identifiants
pubmed: 37027734
doi: 10.1109/TVCG.2023.3247112
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM