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dc.contributor.authorSingh, Avinash Kumaren_US
dc.contributor.authorChen, Hsiang-Tingen_US
dc.contributor.authorCheng, Yu-Fengen_US
dc.contributor.authorKing, Jung-Taien_US
dc.contributor.authorKo, Li-Weien_US
dc.contributor.authorGramann, Klausen_US
dc.contributor.authorLin, Chin-Tengen_US
dc.date.accessioned2018-08-21T05:53:42Z-
dc.date.available2018-08-21T05:53:42Z-
dc.date.issued2018-01-01en_US
dc.identifier.issn2169-3536en_US
dc.identifier.urihttp://dx.doi.org/10.1109/ACCESS.2018.2832089en_US
dc.identifier.urihttp://hdl.handle.net/11536/145046-
dc.description.abstractDifferent rendering styles induce different levels of agency and user behaviors in virtual reality environments. We applied an electroencephalogram-based approach to investigate how the rendering style of the users' hands affects behavioral and cognitive responses. To this end, we introduced prediction errors due to cognitive conflicts during a 3-D object selection task by manipulating the selection distance of the target object. The results showed that, for participants with high behavioral inhibition scores, the amplitude of the negative event-related potential at approximately 50-250 ms correlated with the realism of the virtual hands. Concurring with the uncanny valley theory, these findings suggest that the more realistic the representation of the user's hand is, the more sensitive the user becomes toward subtle errors, such as tracking inaccuracies.en_US
dc.language.isoen_USen_US
dc.subjectVirtual realityen_US
dc.subjectcognitive conflicten_US
dc.subjectprediction erroren_US
dc.subjectvirtual hand illusionen_US
dc.subjectEEGen_US
dc.subjectbody ownershipen_US
dc.titleVisual Appearance Modulates Prediction Error in Virtual Realityen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ACCESS.2018.2832089en_US
dc.identifier.journalIEEE ACCESSen_US
dc.citation.volume6en_US
dc.citation.spage24617en_US
dc.citation.epage24624en_US
dc.contributor.department生物科技學院zh_TW
dc.contributor.department腦科學研究中心zh_TW
dc.contributor.departmentCollege of Biological Science and Technologyen_US
dc.contributor.departmentBrain Research Centeren_US
dc.identifier.wosnumberWOS:000433455400001en_US
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