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Evaluating engagement of virtual reality games based on first and third person perspective using EEG and subjective metrics

  • Diego Monteiro
  • , Hai Ning Liang
  • , Andrew Abel
  • , Nilufar Bahaei
  • , Rita De Cassia Monteiro

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

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.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2018
Pages53-60
Number of pages8
ISBN (Electronic)9781538692691
DOIs
Publication statusPublished - 15 Jan 2019
Event1st IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2018 - Taichung, Taiwan
Duration: 10 Dec 2018 → 12 Dec 2018

Publication series

NameProceedings - 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2018

Conference

Conference1st IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2018
Country/TerritoryTaiwan
CityTaichung
Period10/12/18 → 12/12/18

Funding

ACKNOWLEDGMENTS We would like to thank the participants for their time. This research was partially funded by XJTLU Key Program Special Fund and XJTLU Research Development Fund.

Keywords

  • EEG
  • first-person
  • gameplay
  • third person
  • viewing Perspectives
  • virtual-reality
  • electroencephalography
  • virtual reality
  • behavioural sciences computing

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