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Towards Effective Sensorimotor Skill Transfer: Initial Comparison between Haptic Guidance and Disturbance on VR Engraving Arts

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dc.contributor.authorPark,Jiyoung-
dc.contributor.authorLim,Jaewan-
dc.contributor.authorLee, Taeyoon-
dc.contributor.authorYoo,Yongjae-
dc.date.accessioned2024-11-07T08:00:24Z-
dc.date.available2024-11-07T08:00:24Z-
dc.date.issued2024-10-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/120787-
dc.description.abstractThis paper compares force-feedback methods for sensorimotor skill transfer in a VR engraving art task. Using a 3-DoF force-feedback device, we implemented a VR engraving art system that provides two different haptic feedback methods of haptic guidance and disturbance. As haptic guidance, the force and profile we gathered from an art expert were presented as is, while the inverse direction of the profile was given as haptic disturbance. We evaluated the user’s task performance with two methods with a baseline of no haptic feedback and the results showed haptic disturbance led to slightly better performance than guidance.-
dc.format.extent2-
dc.language영어-
dc.language.isoENG-
dc.publisherACM-
dc.titleTowards Effective Sensorimotor Skill Transfer: Initial Comparison between Haptic Guidance and Disturbance on VR Engraving Arts-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1145/3641825.3689524-
dc.identifier.wosid001336540500065-
dc.identifier.bibliographicCitationVRST '24: Proceedings of the 30th ACM Symposium on Virtual Reality Software and Technology, no.64, pp 1 - 2-
dc.citation.titleVRST '24: Proceedings of the 30th ACM Symposium on Virtual Reality Software and Technology-
dc.citation.number64-
dc.citation.startPage1-
dc.citation.endPage2-
dc.type.docTypeProceedings Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassother-
dc.subject.keywordAuthorForce feedback rendering-
dc.subject.keywordAuthordexterous skill transfer-
dc.subject.keywordAuthorengraving art-
dc.subject.keywordAuthoruser study-
dc.identifier.urlhttps://dl.acm.org/doi/10.1145/3641825.3689524-
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ERICA 소프트웨어융합대학 (DEPARTMENT OF ARTIFICIAL INTELLIGENCE)
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