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Autonomic nervous system factors underlying anxiety in virtual environments : a regression model for cybersickness

Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/118848

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Title: Autonomic nervous system factors underlying anxiety in virtual environments : a regression model for cybersickness
Related: International Conference on Virtual Systems and MultiMedia (15th : 2009) (9 - 12 September 2009 : Vienna)
Related: Sablatnig, Robert; Kampel, Martin and Lettner, Martin. 2009 15th International Conference on Virtual Systems and Multimedia : proceedings : VSMM 2009 : 9-12 September 2009 Vienna, Austria, p.67-71
DOI: 10.1109/VSMM.2009.16
Publisher: Los Alamitos, Calif : IEEE Computer Society
Date: 2009
FoR/RFCD Code(s): 089900 Other Information and Computing Sciences
Author/Creator: Bruck, Susan
Author/Creator: Watters, Paul A
Description: The ability to predict whether people will experience anxiety is important for recruitment and selection in highly-stressful professions. Using a virtual reality environment (VRE) can provide a tool to predict whether a person will experience anxiety. This paper reports several regression models which suggest observed and self-reported measures of anxiety during and after immersion in a VRE can be used to predict an individual's anxiety response to a simulated stressful environment. We found that respiration was a poor predictor of anxiety, but that cardiac activity accounted for around 39% of variance in self-reported anxiety responses using a four point scale. In contrast, responses from the simulator sickness questionnaire (SSQ) accounted for 98% of variance in anxiety responses. However, only four out of eighteen measures in the SSQ made a significant contribution to the model. The implication for predicting an individual's anxiety responses using self-report or physiological measures is discussed.
Description: 5 page(s)
Subject Keyword: 089900 Other Information and Computing Sciences
Resource Type: conference paper
Organisation: Macquarie University. Dept. of Computing

Identifier: http://hdl.handle.net/1959.14/118848
Identifier: ISBN:9780769537900
Identifier: mq-rm-2009004581
Language: eng
Rights: Copyright 2009 IEEE. Reprinted from 2009 15th International Conference on Virtual Systems and Multimedia : proceedings : VSMM 2009 : 9-12 September 2009 Vienna, Austria. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Macquarie University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
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