Skip to main content
SpringerLink
Log in

Comparing Two Emotion Models for Deriving Affective States from Physiological Data

  • Chapter
Affect and Emotion in Human-Computer Interaction

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4868))

Abstract

This paper describes an experiment on emotion measurement and classification based on different physiological parameters, which was conducted in the context of a European project on ambient intelligent mobile devices. Emotion induction material consisted of five four-minute video films that induced two positive and three negative emotions. The experimental design gave consideration to both, the basic and the dimensional model of the structure of emotion. Statistical analyses were conducted for films and for self-assessed emotional state and in addition, supervised machine learning technique was utilized. Recognition rates reached up to 72% for a specific emotion (one out of five) and up to 82% for an underlying dimension (one out of two).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Dey, A.K.: Understanding and Using Context. Personal and Ubiquitous Computing Journal 5, 4–7 (2001)

    Article  Google Scholar 

  2. Forest, F., Oehme, A., Yaici, K., Verchère-Morice, C.: Psycho-Social Aspects of Context Awareness in Ambient Intelligent Mobile Systems. In: 15th IST Mobile & Wireless Communication Summit, Myconos (2006), http://www.ist-esense.org/index.php?id=149

  3. Ax, A.: The physiological differentiation between fear and anger in humans. Psychosomatic Medicine 55, 433–442 (1953)

    Google Scholar 

  4. Ekman, P., Levenson, R.W., Friesen, W.: Autonomic nervous system activity distinguishes among emotions. Science 221, 1208–1210 (1983)

    Article  Google Scholar 

  5. Palomba, D., Stegagno, L.: Physiology, perceived emotion and memory: responding to film sequences. In: Birbaumer, N., Öhmann, A. (eds.) The Structure of Emotion, pp. 158–168. Hogrefe & Huber Publishers (1993)

    Google Scholar 

  6. Fredrickson, B.L., Mancuso, R.A., Branigan, C., Tugade, M.M.: The undoing effect of positive emotions. Motivation and Emotion 24, 237–257 (2000)

    Article  Google Scholar 

  7. Christie, I.C.: Multivariate discrimination of emotion-specific autonomic nervous system activity. MSc Thesis, Virginia Polytechnic Institute and State University (2002)

    Google Scholar 

  8. Nasoz, F., Alvarez, K., Lisetti, C.L., Finkelstein, N.: Emotion recognition from physiological signals for presence technologies. International Journal of Cognition, Technology, and Work 6 (2003)

    Google Scholar 

  9. Ekman, P.: An argument for basic emotions. Cognition and Emotion 6(3/4) (1992)

    Google Scholar 

  10. Johnstone, T., Scherer, K.R.: Vocal communication of emotion. In: Lewis, M., Haviland-Jones, J. (eds.) Handbook of Emotions, 2nd edn., pp. 220–235. Guilford Press, New York (2000)

    Google Scholar 

  11. Levenson, R.W., Ekman, P., Friesen, W.V.: Voluntary facial action generates emotion-specific autonomic nervous system activity. Psychophysiology 27, 363–384 (1999)

    Article  Google Scholar 

  12. Palomba, D., Sarlo, M., Agrilli, A., Mini, A., Stegagno, L.: Cardiac response associated with affective processing of unpleasant film stimuli. International Journal of Psychophysiology 36, 45–57 (1999)

    Article  Google Scholar 

  13. Bradley, M., Greenwald, M.K., Hamm, A.O.: Affective picture processing. In: Birbaumer, N., Öhmann, A. (eds.) The Structure of Emotion, pp. 48–65. Hogrefe & Huber Publishers, Toronto (1993)

    Google Scholar 

  14. Detenber, B.H., Simons, R.F., Bennett, G.G.: Roll ’em!: the effects of picture motion on emotional responses. Journal of Broadcasting and Electronic Media 21, 112–126 (1998)

    Google Scholar 

  15. Anttonen, J., Surakka, V.: Emotions and heart rate while sitting on a chair. In: CHI 2005 Conference Proceedings, pp. 491–499. ACM Press, New York (2005)

    Google Scholar 

  16. Peter, C., Herbon, A.: Emotion Representation and Physiology Assignments in Digital Systems. Interacting With Computers 18, 139–170 (2006)

    Article  Google Scholar 

  17. Russell, J.A.: A circumplex model of affect. Journal of Personality and Social Psychology 39, 1161–1178 (1980)

    Article  Google Scholar 

  18. Russell, J.A., Feldman Barrett, L.: Core Affect, Prototypical Emotional Episodes, and Other Things Called Emotion: Dissecting the Elephant. Journal of Personality and Social Psychology 76(5), 805–819 (1999)

    Article  Google Scholar 

  19. Russel, J.A.: How shall an emotion be called? In: Plutchik, R., Conte, H. (eds.) Circumplex Models of Personality and Emotion, APA, Washington, pp. 205–220 (1997)

    Google Scholar 

  20. Herbon, A., Peter, C., Markert, L., van der Meer, E., Voskamp, J.: Emotion studies in HCI - a new approach. In: Proceedings of the 2005 HCI International Conference, Las Vegas (2005)

    Google Scholar 

  21. Ritz, T., Thöns, M., Fahrenkrug, S., Dahme, B.: Airways, respiration, and respiratory sinus arrhythmia during picture viewing. Psychophysiology 42, 568–578 (2005)

    Google Scholar 

  22. Feldman Barrett, L.: Discrete Emotions or Dimensions? The Role of Valence Focus and Arousal Focus. Cognition and Emotion 12(4), 579–599 (1998)

    Article  Google Scholar 

  23. Mahlke, S., Minge, M.: Consideration of Multiple Components of Emotions on Human-Technology Interaction. In: Peter, C., Beale, R. (eds.) Affect and Emotion in Human-Computer Interaction. LNCS, vol. 4868. Springer, Heidelberg (2008)

    Google Scholar 

  24. Lang, P.J.: Behavioral treatment and bio-behavioral assessment: Computer applications. In: Sidowsky, J.B., Johnson, J.H., Williams, T.A. (eds.) Technology in mental health care delivery systems, pp. 119–137. Ablex, Norwood (1980)

    Google Scholar 

  25. Peretz, I.: The nature of music from a biological perspective. Cognition 100, 1–32 (1998)

    Article  MathSciNet  Google Scholar 

  26. Prkachin, K.M., Williams-Avery, R.M., Zwaal, C., Mills, D.E.: Cardiovascular changes during induced emotion: an application of Lang’s theory of emotional imagery. Journal of Psychosomatic Research 47, 255–267 (1999)

    Article  Google Scholar 

  27. Neumann, S.A., Waldstein, S.R.: Similar patterns of cardiovascular response during emotional activation as a function of affective valence and arousal and gender. Journal of Psychosomatic Research 50, 245–253 (2001)

    Article  Google Scholar 

  28. Malik, M., Bigger, J., Camm, A., Kleiger, R.: Heart rate variability - Standards of measurement, physiological interpretation, and clinical use. European Heart Journal 17, 354–381 (1996)

    Google Scholar 

  29. Cook, E.W., Lang, P.J.: Affective judgement and psychophysiological response. Dimensional covariation in the evaluation of pictorial stimuli. Journal of psychophysiology 3, 51–64 (1989)

    Google Scholar 

  30. Roedema, T.M., Simons, R.F.: Emotion-processing deficit in alexithymia. Psychophysiology 36, 379–387 (1999)

    Article  Google Scholar 

  31. Vapnik, V.N.: The Nature of Statistical Learning Theory. Springer, New York (1999)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institut für Psychologie und Arbeitswissenschaft, Technische Universität Berlin, Fachgebiet Mensch-Maschine-Systeme, Franklinstr. 28-29, 10587, Berlin, Germany

    Antje Lichtenstein

  2. HFC Human-Factors-Consult GmbH, Köpenickerstraße 325, 12555, Berlin, Germany

    Astrid Oehme, Stefan Kupschick & Thomas Jürgensohn

Authors
  1. Antje Lichtenstein
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Astrid Oehme
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Stefan Kupschick
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Thomas Jürgensohn
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Christian Peter Russell Beale

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Lichtenstein, A., Oehme, A., Kupschick, S., Jürgensohn, T. (2008). Comparing Two Emotion Models for Deriving Affective States from Physiological Data. In: Peter, C., Beale, R. (eds) Affect and Emotion in Human-Computer Interaction. Lecture Notes in Computer Science, vol 4868. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85099-1_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-85099-1_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85098-4

  • Online ISBN: 978-3-540-85099-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation