Abstract
This study examined the relationship between emotion and physiological measures of autonomic system response. Features of electrodermal, cardiac, respiratory, movement, and oculomotor response were measured from a population of normal subjects while they were presented standard acoustic and visual stimuli designed to evoke specific emotions. The subjects’ assessments of their emotional response to the stimuli (self-report) were also recorded. We present results of a preliminary analysis of the statistical relationship between the stimulus category, the physiological features and self-report. We found significant differences across stimulus categories, as well as across self-reported emotions, suggesting that a combination of features could be used to classify the emotional content of a discrete stimulus. We also examine the dependence of physiological signals on the mode of stimulus presentations.
Keywords
- Affect
- emotion
- psychophysiology
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References
Bradley, M., Lang, P.J.: The International affective digitized sounds (IADS) stimuli, instruction manual and affective ratings: NIMH Center for the Study of Emotion and Attention (1999)
Brave, S., Nass, C.: Emotion in human-computer interaction. The human-computer interaction handbook: fundamentals, evolving technologies and emerging applications, 81–96 (2002)
Cowie, R., Douglas-Cowie, E., Tsapatsoulis, N., Votsis, G., Kollias, S., Fellenz, W., et al.: Emotion recognition in human-computer interaction. IEEE Signal Processing Magazine 18(1), 32–80 (2001)
Ekman, P., Levenson, R.W., Friesen, W.V.: Autonomic nervous system activity distinguishes among emotions. Science 221(4616), 1208 (1983)
Fasel, B., Luettin, J.: Automatic facial expression analysis: a survey. Pattern Recognition 36(1), 259–275 (2003)
Karg, M., Kuhnlenz, K., Buss, M.: Recognition of affect based on gait patterns. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 40(4), 1050–1061
Lang, P.J., Greenwald, M.K., Bradley, M.M., Hamm, A.O.: Looking at pictures: Affective, facial, visceral, and behavioral reactions. Psychophysiology 30(3), 261–273 (1993)
Levenson, R.W., Ekman, P., Friesen, W.V.: Voluntary facial action generates emotion-specific autonomic nervous system activity. Psychophysiology 27(4), 363–384 (1990)
Mitra, S., Acharya, T.: Gesture recognition: A survey. IEEE Transactions on, Systems, Man, and Cybernetics, Part C: Applications and Reviews 37(3), 311–324 (2007)
Murray, I.R., Arnott, J.L.: Toward the simulation of emotion in synthetic speech: A review of the literature on human vocal emotion. Journal of the Acoustical Society of America (1993)
Pantic, M., Rothkrantz, L.J.M.: Automatic analysis of facial expressions: The state of the art. IEEE Transactions on, Pattern Analysis and Machine Intelligence 22(12), 1424–1445 (2000)
Parkinson, B.: Emotions are social. Br. J. Psychol. 87(Pt 4), 663–683 (1996)
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Webb, A.K., Cunha, M.G., Prakash, S.R., Irvine, J.M. (2011). Physiological Correlates of Emotional State. In: Stephanidis, C. (eds) HCI International 2011 – Posters’ Extended Abstracts. HCI 2011. Communications in Computer and Information Science, vol 173. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22098-2_67
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DOI: https://doi.org/10.1007/978-3-642-22098-2_67
Publisher Name: Springer, Berlin, Heidelberg
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