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TitleEvaluating Virtual Reality experience and performance: A brain based approach
Creator
Date Issued2016-12-03
Conference Name15th ACM SIGGRAPH International Conference on Virtual Reality Continuum and Its Applications in Industry (VRCAI)
Source PublicationProceedings - VRCAI 2016: 15th ACM SIGGRAPH Conference on Virtual-Reality Continuum and Its Applications in Industry
ISBN9781450346924
Volume1
Pages469-474
Conference DateDEC 03-04, 2016
Conference PlaceBeijing Normal Univ, Zhuhai, PEOPLES R CHINA
Abstract

The recent trend and parallel development/adoption of Virtual Reality, Brain Sensing Measures and associated technology such as Augmented Reality by large corporations, and the rise in the interests in the consumer market have set a positive tone for research in these disciplines. An important human factors area that is a catalyst to broad VR applications is the measure of perception, mental workload, and immersion amongst other issues, which are determining factors in the experience of using virtual environments. Traditional approaches in studying these issues use well-developed subjective measures via questionnaires. A new opportunity in the parallel developments in wearable physiological sensors such as brain scanners could potentially be an objective approach in resolving many subjective uncertainties amongst other prospects. Here, we propose the integration of these two emerging fields in order to provide a continuous, objective, physiological measure of an individual's VR experience for the purposes of enhancing user experience and improving performance. This positional paper attempts to merge two complementary field of work, and discusses implications which could potentially open up avenues of research which were traditionally difficult due to the limitations of equipment, or the lack of quantified approach.

KeywordBrain computer interfaces Cognitive ergonomics Human computer interaction Human factors Quantitative measures User experience Virtual Reality
DOI10.1145/3013971.3014012
URLView source
Indexed ByCPCI-S
Language英语English
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS IDWOS:000414281600069
Scopus ID2-s2.0-85009742797
Citation statistics
Cited Times:9[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/10997
CollectionResearch outside affiliated institution
Affiliation
NVIDIA Joint-Lab. on Mixed Reality (Visualisation and AI),University of Nottingham,Ningbo,China
Recommended Citation
GB/T 7714
Pike, Matthew,Ch'ng, Eugene. Evaluating Virtual Reality experience and performance: A brain based approach[C], 2016: 469-474.
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