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

Susan Bruck, Paul A. Watters

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

7 Citations (Scopus)
4 Downloads (Pure)

Abstract

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.
Original languageEnglish
Title of host publication2009 15th International Conference on Virtual Systems and Multimedia
Subtitle of host publicationproceedings : VSMM 2009 : 9-12 September 2009 Vienna, Austria
EditorsRobert Sablatnig, Martin Kampel, Martin Lettner
Place of PublicationLos Alamitos, Calif.
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages67-71
Number of pages5
ISBN (Print)9780769537900
DOIs
Publication statusPublished - 2009
Externally publishedYes
EventInternational Conference on Virtual Systems and MultiMedia (15th : 2009) - Vienna
Duration: 9 Sep 200912 Sep 2009

Conference

ConferenceInternational Conference on Virtual Systems and MultiMedia (15th : 2009)
CityVienna
Period9/09/0912/09/09

Bibliographical note

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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