Title | Evaluating Virtual Reality experience and performance: A brain based approach |
Creator | |
Date Issued | 2016-12-03 |
Conference Name | 15th ACM SIGGRAPH International Conference on Virtual Reality Continuum and Its Applications in Industry (VRCAI) |
Source Publication | Proceedings - VRCAI 2016: 15th ACM SIGGRAPH Conference on Virtual-Reality Continuum and Its Applications in Industry
![]() |
ISBN | 9781450346924 |
Volume | 1 |
Pages | 469-474 |
Conference Date | DEC 03-04, 2016 |
Conference Place | Beijing 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. |
Keyword | Brain computer interfaces Cognitive ergonomics Human computer interaction Human factors Quantitative measures User experience Virtual Reality |
DOI | 10.1145/3013971.3014012 |
URL | View source |
Indexed By | CPCI-S |
Language | 英语English |
WOS Research Area | Computer Science |
WOS Subject | Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods |
WOS ID | WOS:000414281600069 |
Scopus ID | 2-s2.0-85009742797 |
Citation statistics | |
Document Type | Conference paper |
Identifier | http://repository.uic.edu.cn/handle/39GCC9TT/10997 |
Collection | Research 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. |
Files in This Item: | There are no files associated with this item. |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment