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The Effects of a Vibro-Kinetic Multi-Sensory Experience in Passive Seated Vehicular Movement in a Virtual Reality Context

Published:20 April 2018Publication History

ABSTRACT

This paper investigates the effect of vibro-kinetic (VK) technology on psychophysiological states of users in a virtual reality context. Specifically, we investigate whether a VK seat, i.e., a seat using movement and vibration synchronized with a given media, induces psychophysiological states aligned with an optimal immersive virtual reality (VR) experience. We test our hypotheses with subjects in a seated position while experiencing a passive vehicular movement with a VR headset. Using a between-subject experiment, 45 participants were randomly assigned to a VK or a non-VK condition. Users' psychophysiological states were measured using electrodermal activity, heart rate, and user perceptions. We find evidence that VK significantly enhances the physiological activation of the user throughout the experience. Also, we find that VK seems to create a psychological state that requires less conscious autoregulation, which could suggest that users experience less cybersickness in this condition.

References

  1. Mark F Bear and Barry W Connors. 2016. Neurosciences (4e édition): A la découverte du cerveau. .Google ScholarGoogle Scholar
  2. Jean-Marie Burkhardt, Benoit Bardy, and D. Lourdeaux. 2003. Immersion, Réalisme et Présence dans la conception et l'évaluation des Environnements Virtuels. Psychologie Française 48: 35--42.Google ScholarGoogle Scholar
  3. F Cottin, C Médigue, and Y Papelier. 2008. Effect of heavy exercise on spectral baroreflex sensitivity, heart rate, and blood pressure variability in welltrained humans. American Journal of Physiology Heart and Circulatory Physiology 295, 3: H1150-- H1155.Google ScholarGoogle ScholarCross RefCross Ref
  4. Michael E. Dawson, Anne M. Schell, and Diane L. Filion. 2000. The electrodermal system. Handbook of Psychophysiology, 200--223. Retrieved from http://www.sciencedirect.com/science/article/pii/S 0009250907003685.Google ScholarGoogle Scholar
  5. Adam Gacek. 2015. ECG signal processing,classification and interpretation. . Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Fay C.M. Geisler, Nadja Vennewald, Thomas Kubiak, and Hannelore Weber. 2010. The impact of heart rate variability on subjective well-being is mediated by emotion regulation. Personality and Individual Differences 49, 7: 723--728.Google ScholarGoogle ScholarCross RefCross Ref
  7. John F. Golding. 2006. Predicting individual differences in motion sickness susceptibility by questionnaire. Personality and Individual Differences 41, 2: 237--248.Google ScholarGoogle ScholarCross RefCross Ref
  8. David S. Goldstein, Oladi Bentho, Mee-Yeong Park, and Yehonatan Sharabi. 2011. Low-frequency power of heart rate variability is not a measure of cardiac sympathetic tone but may be a measure of modulation of cardiac autonomic outflows by baroreflexes. Experimental Physiology 96, 12: 1255--1261.Google ScholarGoogle ScholarCross RefCross Ref
  9. J.P. Gownder, J.L. McQuivey, and Carrie Johnson. 2016. The Coming Wave Of Virtual Reality. .Google ScholarGoogle Scholar
  10. Pallavi Halarnkar, Sahil Shah, Harsh Shah, Hardik Shah, and Anuj Shah. 2012. A Review on Virtual Reality. International Journal of Computer Science Issues 9, 6: 325--330.Google ScholarGoogle Scholar
  11. Cédric Hufnagel, Patrick Chambres, and Catherine Auxiette. 2014. Les systèmes de monitoring du bien-être: application à l'anxiété dans les troubles du spectre autistique. le Bulletin scientifique de l'arapi 34: 50--55.Google ScholarGoogle Scholar
  12. J. De Jonckheere, D. Rommel, Jl Nandrino, M. Jeanne, and R. Logier. 2012. Heart rate variability analysis as an index of emotion regulation processes: Interest of the Analgesia Nociception Index (ANI). Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS: 3432--3435.Google ScholarGoogle Scholar
  13. W. T. Lo and Richard H Y So. 2001. Cybersickness in the presence of scene rotational movements along different axes. Applied Ergonomics 32, 1: 1--Google ScholarGoogle ScholarCross RefCross Ref
  14. Horea Pauna, Pierre-majorique Léger, Sylvain Sénécal, et al. 2018. The Psychophysiological Effect of a Vibro-Kinetic Movie Experience: The Case of the D-BOX Movie Seat. In Information Systems and Neuroscience. Springer, Berllin, 1--7.Google ScholarGoogle Scholar
  15. Lisa Renee Rebenitsch. 2015. Cybersickness Prioritization and Modeling. .Google ScholarGoogle Scholar
  16. Giuseppe Riva, Fabrizia Mantovani, Claret Samantha Capideville, et al. 2007. Affective Interactions Using Virtual Reality: The Link between Presence and Emotions. CyberPsychology & Behavior 10, 1: 45--56.Google ScholarGoogle ScholarCross RefCross Ref
  17. Suzanne C. Segerstrom and Lise Solberg Nes. 2007. Heart Rate Variability Reflects Effort, Strength, and Fatigue. Psychological Science 18, 3: 275--281.Google ScholarGoogle ScholarCross RefCross Ref
  18. Mel Slater, A Steed, J McCarthy, and F Maringelli. 1998. The influence of body movement on subjective presence in virtual environments. Human Factors 40, 3: 469--477.Google ScholarGoogle ScholarCross RefCross Ref
  19. Mario Vaderrama, Vincent Navarro, and Michel Le van Quyen. 2010. Heart Rate Variability as measurement of heart-brain interaction.pdf. Epilespie et coeur 22, 3: 194--200.Google ScholarGoogle Scholar
  20. Valentijn T. Visch, Ed S. Tan, and Dylan Molenaar. 2010. The emotional and cognitive effect of immersion in film viewing. Cognition & Emotion 24, 8: 1439--1445.Google ScholarGoogle ScholarCross RefCross Ref
  21. Brenda K. Wiederhold, Dong P Jang, Mayumi Kaneda, et al. 2001. An investigation into physiological responses in virtual environments: an objective measurement of presence. {...}: Mind, cognitions and {...}: 175--184.Google ScholarGoogle Scholar

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    • Published in

      cover image ACM Conferences
      CHI EA '18: Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
      April 2018
      3155 pages
      ISBN:9781450356213
      DOI:10.1145/3170427

      Copyright © 2018 Owner/Author

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      Association for Computing Machinery

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      Publication History

      • Published: 20 April 2018

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      CHI EA '18 Paper Acceptance Rate1,208of3,955submissions,31%Overall Acceptance Rate6,164of23,696submissions,26%

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