Article ID Journal Published Year Pages File Type
4937412 Computers in Human Behavior 2017 30 Pages PDF
Abstract
The potential of virtual reality for diagnosing anxiety disorders has been explored to a lesser extent than its use in psychotherapy so far. The current study applied virtual environments as an innovative diagnostic tool for social anxiety and social anxiety disorder and examined differences between low- and high-socially-anxious participants on the basis of specific psychological parameters and recordings of gaze behavior. Out of 119 subjects, 19 low- and 18 high-socially-anxious participants were selected by a social anxiety questionnaire. During the completion of eight tasks in a virtual train and waiting room scenario, the skin conductance response and gaze behavior was monitored. The findings indicate that analyzing fixation durations of faces in a virtual social situation is even more suitable for distinguishing low- and high-social-anxious participants than investigations of skin conductance responses.
Related Topics
Physical Sciences and Engineering Computer Science Computer Science Applications
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