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International Conference on Human-Computer Interaction

HCI 2011: HCI International 2011 – Posters’ Extended Abstracts pp 332–336Cite as

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Physiological Correlates of Emotional State

Physiological Correlates of Emotional State

  • Andrea K. Webb2,
  • Meredith G. Cunha2,
  • S. R. Prakash2 &
  • …
  • John M. Irvine2 
  • Conference paper
  • 1327 Accesses

Part of the Communications in Computer and Information Science book series (CCIS,volume 173)

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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Author information

Authors and Affiliations

  1. Charles S. Draper Laboratory, 555 Technology Square, Cambridge, Massachusetts, USA

    Andrea K. Webb, Meredith G. Cunha, S. R. Prakash & John M. Irvine

Authors
  1. Andrea K. Webb
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  2. Meredith G. Cunha
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  3. S. R. Prakash
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  4. John M. Irvine
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Crete, Greece

    Constantine Stephanidis

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© 2011 Springer-Verlag Berlin Heidelberg

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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

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