Analysis of physiological responses to a social situation in an immersive virtual environment

  • Authors:

  • Mel Slater;Christoph Guger;Guenter Edlinger;Robert Leeb;Gert Pfurtscheller;Angus Antley;Maia Garau;Andrea Brogni;Doron Friedman

  • Affiliations:

  • Department of Computer Science, University College London, London, UK and ICREA-Universitat Politècnica de Catalunya, Barcelona, Spain;Guger Technologies OEG, Graz, Austria;Guger Technologies OEG, Graz, Austria;Institute of Human-Computer Interfaces, Graz University of Technology, Graz, Austria;Institute of Human-Computer Interfaces, Graz University of Technology, Graz, Austria;Department of Computer Science, University College London, London, UK;Department of Computer Science, University College London, London, UK;Department of Computer Science, University College London, London, UK;Department of Computer Science, University College London, London, UK

  • Venue:
  • Presence: Teleoperators and Virtual Environments - Special issue: 8th annual international workshop on presence II
  • Year:
  • 2006

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Abstract

An experiment was conducted in a Cave-like environment to explore the relationship between physiological responses and breaks in presence and utterances by virtual characters towards the participants. Twenty people explored a virtual environment (VE) that depicted a virtual bar scenario. The experiment was divided into a training and an experimental phase. During the experimental phase breaks in presence (BIPs) in the form of whiteouts of the VE scenario were induced for 2 s at four equally spaced times during the approximately 5 min in the bar scenario. Additionally, five virtual characters addressed remarks to the subjects. Physiological measures including electrocardiagram (ECG) and galvanic skin response (GSR) were recorded throughout the whole experiment. The heart rate, the heart rate variability, and the event-related heart rate changes were calculated from the acquired ECG data. The frequency response of the GSR signal was calculated with a wavelet analysis. The study shows that the heart rate and heart rate variability parameters vary significantly between the training and experimental phase. GSR parameters and event-related heart rate changes show the occurrence of breaks in presence. Event-related heart rate changes also signified the virtual character utterances. There were also differences in response between participants who report more or less socially anxious.