Skip to main content

Piecing Together the Emotion Jigsaw

  • Conference paper
Book cover Machine Learning for Multimodal Interaction (MLMI 2004)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3361))

Included in the following conference series:

Abstract

People are emotional, and machines are not. That constrains their communication, and defines a key challenge for the information sciences. Different groups have addressed it from different angles, trying to develop methods of detecting emotion, agents that convey emotion, systems that predict behaviour in emotional circumstances, and so on. Progress has been limited. The new network of excellence HUMAINE explores the idea that progress depends on addressing the problem as a whole, not in isolated fragments.

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

Access this chapter

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. Picard, R.W.: Affective Computing. MIT Press, Cambridge (1997)

    Google Scholar 

  2. HUMAINE portal, http://emotion-research.net/

  3. Russell, J., Barrett-Feldman, L.: Core affect, prototypical emotional episodes, and other things called emotion: Dissecting the elephant. J. Pers & Soc Psychol 76, 805–819 (1999)

    Article  Google Scholar 

  4. Cowie, R., Douglas-Cowie, E., Tsapatsoulis, N., Votsis, G., Kollias, S., Fellenz, W., Taylor, J.: Emotion recognition in human-computer interaction. IEEE Sig. Proc. Magaz. 18, 32–80 (2001)

    Article  Google Scholar 

  5. Cowie, R., Cornelius, R.: Describing the Emotional States that are Expressed in Speech. Speech Comm. 40, 5–32 (2003)

    Article  MATH  Google Scholar 

  6. Scherer, K., et al.: HUMAINE Deliverable D3c: Preliminary plans for exemplars: theory, http://emotion-research.net/

  7. Ekman, P.: Basic emotions. In: Dalgleish, T., Power, M.J. (eds.) Handbook of Cognition & Emotion, pp. 301–320. John Wiley, New York (1999)

    Google Scholar 

  8. Douglas-Cowie, E., Campbell, N., Cowie, R., Roach, P.: Emotional Speech: towards a new generation of databases. Speech Comm. 40, 33–60 (2003)

    Article  MATH  Google Scholar 

  9. Kwon, O., Chan, K., Hao, J., Lee, T.-W.: Emotion recognition by speech signals. In: Proc. Eurospeech, pp. 125–128 (2003)

    Google Scholar 

  10. Batliner, A., Fischer, K., Huber, R., Spilker, J., Nöth, E.: How to find trouble in communication. Speech Comm. 40, 117–143 (2003)

    Article  MATH  Google Scholar 

  11. Ang, J., Dhillon, R., Krupski, A., Shriberg, E., Stolcke, A.: Prosody-based automatic detection of annoyance and frustration in human-computer dialog. In: Proc. ICSLP, Denver, Colorado (2002)

    Google Scholar 

  12. Hadfield, P., Marks, P.: This is your captain dozing. New Scientist, 1682267, 21 (2000)

    Google Scholar 

  13. McMahon, E., Cowie, R., Kasderidis, S., Taylor, J., Kollias, S.: What Chance that a DC Could Recognise Hazardous Mental States from Sensor Outputs? In: Tales of the Disappearing Computer, Santorini (2003)

    Google Scholar 

  14. Zhou, G., Hansen, J.H., Kaiser, J.F.: Methods for stress classification: Nonlinear TEO and linear speech based features. In: Proc. IEEE Int Conf on Acoustics, Speech, Signal Processing, vol. IV, pp. 2087–2090 (1999)

    Google Scholar 

  15. Haddad, D., Ratley, R., Walter, S., Smith, M.: Investigation and Evaluation of Voice Stress Analysis Technology. Final Report US Dept of Justice Report NCJ Number 193832 (2002)

    Google Scholar 

  16. ERMIS team D03: System Architecture and Testbed Specifications ERMIS project IST-2000-29319 (2002)

    Google Scholar 

  17. Aizawa, K.: Position Statement. In: Proc. VLBV 2001, Athens, vol. 3 (2001)

    Google Scholar 

  18. Höök, K., Sengers, P., Andersson, G.: Sense and Sensibility: Evaluation and Interactive Art Computer Human Interaction, Fort Lauderdale (2003)

    Google Scholar 

  19. Paiva, A. (ed.): Affective Interactions: Towards a New Generation of Computer Interfaces. Springer, Berlin (2000)

    Google Scholar 

  20. Yacoub, S., Simske, S., Lin, X., Burns, J.: Recognition of emotions in interactive voice response systems. In: Proc. Eurospeech, Geneva (2003)

    Google Scholar 

  21. Cowie, R., McGuiggan, A., McMahon, E., Douglas-Cowie, E.: Speech in the Process of Becoming Bored. In: Proc. 15th ICPhS, Barcelona (2003)

    Google Scholar 

  22. Gross, J.J., Levenson, R.W.: Emotion elicitation using films. Cognition and Emotion 9, 87–108 (1995)

    Article  Google Scholar 

  23. Picard, R.W., Vyzas, E., Healey, J.: Toward Machine Emotional Intelligence: Analysis of Affective Physiological State. IEEE Trans Patt Analysis & Machine Intell 23, 1175–1191 (2001)

    Article  Google Scholar 

  24. Stemmler, G., Heldmann, M., Pauls, C., Scherer, T.: Constraints for emotion specificity in fear and anger: the context counts. Psychophysiology 69, 275–291 (2001)

    Article  Google Scholar 

  25. Parkinson, B.: Ideas and realities of emotion, Routledge, New York (1995)

    Google Scholar 

  26. James, W.: What is emotion? Mind 9, 188–205 (1884)

    Article  Google Scholar 

  27. Cannon, W.B.: Against the James-Lange theory of emotion. Psych Rev. 38, 106–124 (1931)

    Article  Google Scholar 

  28. Cornelius, R.: The Science of Emotion: Research and tradition in the psychology of emotion. Prentice-Hall, Upper Saddle River (1996)

    Google Scholar 

  29. Wundt, W.: Grundzuge der Physiologischen Psychologie, vol. 2. Engelmann, Leipzig (1903) (Original published 1874)

    Google Scholar 

  30. Schlosberg, H.: A scale for judgment of facial expressions. Journal of Experimental Psychology 29, 497–510 (1954)

    Article  Google Scholar 

  31. Watson, D., Tellegen, A.: Toward a consensual structure of mood. Psych Bull 98, 219–235 (1985)

    Article  Google Scholar 

  32. Ortony, A., Clore, G., Collins, A.: The cognitive structure of emotions, CUP, Cambridge, England (1988)

    Google Scholar 

  33. Schröder, M.: Speech and Emotion Research: An overview of research frameworks and a dimensional approach to emotional speech synthesis. PhD thesis, PHONUS 7, Research Report of the Institute of Phonetics, Saarland University (2004)

    Google Scholar 

  34. Stibbard, R.: Vocal expression of emotions in non-laboratory speech. PhD thesis, University of Reading (2001)

    Google Scholar 

  35. Cummings, K., Clements, M.: Analysis of glottal excitation of emotionally styled and stressed speech. JASA 98, 88–98 (1995)

    Google Scholar 

  36. Williams, C.E., Stevens, K.N.: Emotions and speech: Some acoustical correlates. JASA 52, 1238–1250 (1972)

    Google Scholar 

  37. Cowie, R., Douglas-Cowie, E., Cox, C., Cemegil, A.T.: D09:Final Version Of Non-Verbal Speech Parameter Extraction Module ERMIS project IST-2000-29319 (2004)

    Google Scholar 

  38. Ladd, D.R., Silverman, K., Tolkmitt, F., Bergmann, G., Scherer, K.: Evidence for the independent function of intonation contour type, voice quality, and F0 range in signaling speaker affect. JASA 78, 435–444 (1985)

    Google Scholar 

  39. Mozziconacci, S.: Speech variability & emotion: Production & perception. Ph. D. thesis, Technical University Eindhoven (1998)

    Google Scholar 

  40. Trappl, R., Petta, P., Payr, S. (eds.): Emotions in Humans and Artifacts, The MIT Press, Cambridge (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Cowie, R., Schröder, M. (2005). Piecing Together the Emotion Jigsaw. In: Bengio, S., Bourlard, H. (eds) Machine Learning for Multimodal Interaction. MLMI 2004. Lecture Notes in Computer Science, vol 3361. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30568-2_26

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-30568-2_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24509-4

  • Online ISBN: 978-3-540-30568-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics