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Emotions and heart rate while sitting on a chair

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Published:02 April 2005Publication History

ABSTRACT

New methods for unobtrusive monitoring of computer users' emotion psychophysiology are very much needed in human-computer interaction research. The present aim was to study heart rate changes during emotionally provocative stimulation. Six-second long auditory, visual, and audiovisual emotionally negative, neutral, and positive stimuli were presented to 24 participants. Heart rate responses were measured with a regular office chair embedded with electromechanical film (the EMFi chair) and with traditional earlobe photoplethysmography (PPG). Ratings of the stimuli were also collected. The results showed that the two heart rate measurements were significantly correlated, r = 0.99. In line with other studies the results showed that, in general, heart rate decelerated in response to emotional stimulation and it decelerated the most in response to negative stimuli as compared with responses to positive and neutral stimuli. Especially, emotional stimulation caused significant changes in heart rate at the 6th second from the stimulus onset. We suggest that the EMFi chair could be used in human-computer interaction for unobtrusive measurement of the user's emotional reactions.

References

  1. Allanson, J. (2002). Electrophysiologically interactive computer systems. IEEE Computers, 35, 3, 60--65. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Aula, A. and Surakka, V. (2002). Auditory Emotional Feedback Facilitates Human-Computer Interaction. Proc. HCI 2002, Springer-Verlag, 337--349.Google ScholarGoogle ScholarCross RefCross Ref
  3. Bradley, M. M., Cuthbert, B. N., and Lang, P. J. (1996). Picture media and emotion: effects of a sustained affective context. Psychophysiology, 33, 662--670.Google ScholarGoogle ScholarCross RefCross Ref
  4. Bradley, M. M. and Lang, P. J. (1994). Measuring emotion: the self-assessment manikin and the semantic differential. Journal of Behaviol Therapy and Experimental Psychiatry, 25, 1, 49--59.Google ScholarGoogle ScholarCross RefCross Ref
  5. Bradley, M. M. and Lang, P. J. (1999). The international affective digitized sounds (IADS): stimuli, instruction manual and affective ratings. Technical Report B-2, The Center for Research in Psychophysiology, University of Florida.Google ScholarGoogle Scholar
  6. Bradley, M. M. and Lang, P. J. (2000). Affective reactions to acoustic stimuli. Psychophysiology, 37, 204--215.Google ScholarGoogle ScholarCross RefCross Ref
  7. Brosschot, J. F. and Thayer, J. F. (2003). Heart rate response is longer after negative emotions than after positive emotions. International Journal of Psychophysiology, 50, 3, 181--187.Google ScholarGoogle ScholarCross RefCross Ref
  8. Caccioppo, J. T., Berntson, G. G., Larsen, J. T., Poehlmann, K. M., and Ito, T. A. (2000). The Psychophysiology of Emotion. In Lewis, M. and Haviland, J. M. (eds.). Handbook of Emotions (pp. 173-191), 2nd Edition. The Guilford Press, New York.Google ScholarGoogle Scholar
  9. Davidson, R. J. (2003). Seven sins in the study of emotion: correctives from affective neuroscience. Brain and Cognition, 52, 129--132.Google ScholarGoogle ScholarCross RefCross Ref
  10. Davidson, R. J. and Cacioppo, J. T. (1992). New developments in the scientific study of emotion: an introduction to the special section. Psychological Science, 3, 1, 21--22.Google ScholarGoogle ScholarCross RefCross Ref
  11. Harland, C. J., Clark, T. D., and Prance, R. J. (2002). Electric potential probes - new directions in the remote sensing of the human body. Measurement Science and Technology, 13, 163--169.Google ScholarGoogle ScholarCross RefCross Ref
  12. Isen, A. M., Daubman, K. A., and Nowicki, G. P. (1987). Positive affect facilitates creative problem solving. Journal of Personality and Social Psychology, 52, 6, 1122--1131.Google ScholarGoogle ScholarCross RefCross Ref
  13. Kapoor, A., Mota, S., and Picard, R. W. (2001). Towards a Learning Companion that Recognizes Affect. Proc. Emotional and Intelligent II: The Tangled Knot of Social Cognition, AAAI Fall Symposium 2001.Google ScholarGoogle Scholar
  14. Klein, J., Moon, Y., and Picard, R. W. (2002). This computer responds to user frustration: theory, design and results. Interacting with computers, 14, 119--140.Google ScholarGoogle Scholar
  15. Lang, P. J., Bradley. M.M., and Cuthbert, B.N. (1992). A motivational analysis of emotion: Reflex-cortex connections. Psychological Science, 3, 1, 44--49.Google ScholarGoogle ScholarCross RefCross Ref
  16. Lang, P. J., Bradley. M.M., and Cuthbert, B.N. (1999). International Affective Picture System (IAPS): instruction manual and affective ratings. Technical Report A-4, The Center for Research in Psychophysiology, University of Florida.Google ScholarGoogle Scholar
  17. Nass, C., Steuer, J., and Tauber, E.R. (1994). Computers are social actors. Proc. CHI 1994, ACM Press, 72--78. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Norman, D.A. (2002). Emotion & design: attractive things work better. Interactions, 9, 4, 36--42. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Paajanen, M., Lekkala, J., and Kirjavainen, K. (2000) ElectroMechanical Film (EMFi) - a new multipurpose electret material. Sensors and Actuators, 84, 95--102.Google ScholarGoogle ScholarCross RefCross Ref
  20. Palomba D., Angrilli A., and Mini A. (1997). Visual evoked potentials, heart rate responses and memory to emotional pictorial stimuli. International Journal of Psychophysiology, 27, 1, 55--67.Google ScholarGoogle ScholarCross RefCross Ref
  21. Partala, T., Aula, A., and Surakka, V. (2001). Combined Voluntary Gaze Direction and Facial Muscle Activity as a New Pointing Technique. Proc. INTERACT 2001, IOS Press, 100--107.Google ScholarGoogle Scholar
  22. Partala, T. and Surakka, V. (2004). The effects of affective interventions in human-computer interaction. Interacting with Computers, 16, 2, 295--309.Google ScholarGoogle ScholarCross RefCross Ref
  23. Partala, T., Surakka, V., and Vanhala, T. (2005). Person-independent estimation of emotional experiences from facial expressions. Proceedings of IUI 2005, Accepted. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. Picard, R. W. (1997). Affective Computing. MIT Press, Cambridge. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. Picard, R. W. and Healey, J. (1997). Affective Wearables. Personal Technologies, 1, 4, 231--240.Google ScholarGoogle ScholarCross RefCross Ref
  26. Picard, R. W., Vyzas, E., and Healey, J. (2001). Towards machine emotional intelligence: analysis of affective physiological state. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23, 10, 1175--1190. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Reeves, B. and Nass, C. (1996). The Media Equation: How People Treat Computers, Television, and New Media Like Real People and Places. Cambridge University Press, New York. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. Scheirer, J., Fernandez, R., Klein, J., and Picard, R. W. (2002). Frustrating the user on purpose: a step toward building an affective computer. Interacting with computers, 14, 2, 93--118.Google ScholarGoogle Scholar
  29. Schneider, W., Eschman, A., and Zuccolotto, A. (2002). E-Prime User's Guide. Psychology Software Tools, Inc, Pittsburgh.Google ScholarGoogle Scholar
  30. Schulkin, J., Thompson, B. L., and Rosen, J. B. (2003). Demythologizing the emotions: adaptation, cognition, and visceral representations of emotion in the nervous system. Brain and Cognition, 52, 15--23.Google ScholarGoogle ScholarCross RefCross Ref
  31. Surakka, V. (2005). Socially and emotionally significant human-computer interaction. To appear in Kappas, A. (ed.). Multi-channel communication on the Internet. Cambridge University Press, New York.Google ScholarGoogle Scholar
  32. Surakka, V., Illi, M. & Isokoski, P. (2004). Gazing and Frowning As a New Technique for Human-Computer Interaction. ACM Transactions on Applied Perception, 1, 1, 40--56. Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. Turk, M. and Robertson, G. (2000). Perceptual User Interfaces. Communications of the ACM, 43, 3, 33--34. Google ScholarGoogle ScholarDigital LibraryDigital Library
  34. Zajonc, R. B. (1980) Feeling and thinking: preferences need no inferences. American Psychologist, 35, 151--175.Google ScholarGoogle ScholarCross RefCross Ref

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      cover image ACM Conferences
      CHI '05: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
      April 2005
      928 pages
      ISBN:1581139985
      DOI:10.1145/1054972

      Copyright © 2005 ACM

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      Publication History

      • Published: 2 April 2005

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