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 language | English |
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Title of host publication | 2009 15th International Conference on Virtual Systems and Multimedia |
Subtitle of host publication | proceedings : VSMM 2009 : 9-12 September 2009 Vienna, Austria |
Editors | Robert Sablatnig, Martin Kampel, Martin Lettner |
Place of Publication | Los Alamitos, Calif. |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 67-71 |
Number of pages | 5 |
ISBN (Print) | 9780769537900 |
DOIs | |
Publication status | Published - 2009 |
Externally published | Yes |
Event | International Conference on Virtual Systems and MultiMedia (15th : 2009) - Vienna Duration: 9 Sep 2009 → 12 Sep 2009 |
Conference
Conference | International Conference on Virtual Systems and MultiMedia (15th : 2009) |
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City | Vienna |
Period | 9/09/09 → 12/09/09 |