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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Monteiro, Diego | pt_BR |
dc.contributor.author | Liang, Hai-Ning | pt_BR |
dc.contributor.author | Abel, Andrew | pt_BR |
dc.contributor.author | Baghaei, Nilufar | pt_BR |
dc.contributor.author | Monteiro, Rita de Cassia | pt_BR |
dc.date.accessioned | 2019-09-12T16:53:51Z | - |
dc.date.available | 2019-09-12T16:53:51Z | - |
dc.date.issued | 2018 | - |
dc.citation.spage | 53 | - |
dc.citation.epage | 60 | - |
dc.identifier.doi | 10.1109/AIVR.2018.00015 | pt_BR |
dc.identifier.isbn | 978-1-5386-9269-1 | - |
dc.identifier.uri | http://repositorio.unitau.br/jspui/handle/20.500.11874/2808 | - |
dc.description.abstract | Viewing perspective plays a significant role in gameplay experiences and especially in virtual reality (VR). However, it is still underexplored. In this paper we evaluate how different viewing perspectives relate to psychophysiological engagement, arousal, and valence metrics that are measured using brainwaves. We perform an experiment in which volunteers play a game using different perspectives and displays while their brainwaves are monitored by a commercial Electroencephalogram (EEG) headset. Using the EEG data, we calculate levels of engagement, arousal and valence using a metric from the literature, and then compare these results to answers from a subjective, self-reporting questionnaire. We then discuss how the psychophysiological metrics compare with the subjective ones in this study, verifying that their results do not always match. | en |
dc.description.provenance | Made available in DSpace on 2019-09-12T16:53:51Z (GMT). No. of bitstreams: 0 Previous issue date: 2018 | en |
dc.description.sponsorship | Xi'an Jiaotong-Liverpool University (XJTLU) | pt_BR |
dc.language | Inglês | pt_BR |
dc.publisher | Ieee | - |
dc.publisher.country | Estados Unidos | pt_BR |
dc.relation.ispartof | 2018 Ieee International Conference on Artificial Intelligence and Virtual Reality (Aivr) | - |
dc.relation.haspart | 1st IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) | - |
dc.rights | Em verificação | pt_BR |
dc.source | Web of Science | pt_BR |
dc.subject.other | Viewing Perspectives | en |
dc.subject.other | First-Person | en |
dc.subject.other | Third-Person | en |
dc.subject.other | Eeg | en |
dc.subject.other | Gameplay | en |
dc.subject.other | Virtual-Reality | en |
dc.subject.other | 2d | en |
dc.subject.other | Responses | en |
dc.title | Evaluating Engagement of Virtual Reality Games based on First and Third Person Perspective using EEG and Subjective Metrics | en |
dc.type | Trabalho apresentado em evento | pt_BR |
dc.identifier.wos | WOS:000458717000007 | - |
dc.description.affiliation | [Monteiro, Diego; Liang, Hai-Ning; Abel, Andrew] Xian Jiaotong Liverpool Univ, Dept Comp Sci & Software Engn, Suzhou, Peoples R China | - |
dc.description.affiliation | [Baghaei, Nilufar] Otago Polytech Auckland, Dept Informat Technol, Int Campus, Auckland, New Zealand | - |
dc.description.affiliation | [Monteiro, Rita de Cassia] Universidade de Taubaté (Unitau), Dept Informat | - |
dc.subject.wosarea | Computer Science, Artificial Intelligence | en |
dc.subject.researcharea | Computer Science | en |
Appears in Collections: | Trabalhos Apresentados em Eventos Artigos de Periódicos |
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