Comparing Event Related Arousal-Valence and Focus Among Different Viewing Perspectives in VR Gaming

Diego Monteiro, Hai Ning Liang*, Yuxuan Zhao, Andrew Abel

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

6 Citations (Scopus)

Abstract

Games are both a way to enjoy leisure time and to learn. Understanding how mental processes associated with gaming work at a deeper level is very important, especially with emerging technologies such as consumer VR head-mounted display systems. One approach to better understand games is through the analysis of how individual events and components of the game affect our autonomic responses. To this end, in this paper, we analyze how the component of viewing perspectives and display types affect the reaction to specific in-game events. We do this through the collection of EEG data using a consumer EEG headset. The collected values are used to calculate Arousal-Valence and Engagement indexes. Finally, these values are compared to events happening at the collection time, and the data is analyzed to identify patterns and draw conclusions from the data. This initial analysis of selected events does not identify any representative change in values amongst different displays and viewing perspectives. These results suggest that viewing perspective and display are of less importance than may be expected for our selected events, whereas other factors such as ranking play a greater role in emotional state changes.

Original languageEnglish
Title of host publicationAdvances in Brain Inspired Cognitive Systems - 9th International Conference, BICS 2018, Proceedings
EditorsAmir Hussain, Bin Luo, Jiangbin Zheng, Xinbo Zhao, Cheng-Lin Liu, Jinchang Ren, Huimin Zhao
PublisherSpringer Verlag
Pages770-779
Number of pages10
ISBN (Print)9783030005627
DOIs
Publication statusPublished - 2018
Event9th International Conference on Brain-Inspired Cognitive Systems, BICS 2018 - Xi'an, China
Duration: 7 Jul 20188 Jul 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10989 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Brain-Inspired Cognitive Systems, BICS 2018
Country/TerritoryChina
CityXi'an
Period7/07/188/07/18

Keywords

  • Arousal-Valence
  • EEG metrics
  • ERP
  • Engagement
  • Game
  • VR

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