Skip to main content
SpringerLink
Log in

Exploitation in Affect Detection in Improvisational E-Drama

  • Conference paper
Intelligent Virtual Agents (IVA 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4133))

Included in the following conference series:

Abstract

We report progress on adding affect-detection to a program for virtual dramatic improvisation, monitored by a human director. To aid the director, we have partially implemented emotion detection. within users’ text input. The affect-detection module has been used to help develop an automated virtual actor. The work involves basic research into how affect is conveyed through metaphor and contributes to the conference themes such as building improvisational intelligent virtual agents for interactive narrative environments.

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. Machado, I., Prada, R., Paiva, A.: Bringing Drama into a Virtual Stage. In: Proceedings of ACM Conference on Collaborative Virtual Environments. ACM Press, New York (2000)

    Google Scholar 

  2. Picard, R.W.: Affective Computing. MIT Press, Cambridge (2000)

    Google Scholar 

  3. Ortony, A., Clore, G.L., Collins, A.: The Cognitive Structure of Emotions. C.U.P (1988)

    Google Scholar 

  4. Prendinger, H., Ishizuka, M.: Simulating Affective Communication with Animated Agents. In: Proceedings of Eighth IFIP TC.13 Conference on Human-Computer Interaction, Tokyo, Japan, pp. 182–189 (2001)

    Google Scholar 

  5. Wiltschko, W.R.: Emotion Dialogue Simulator. eDrama learning, Inc. eDrama Front Desk (2003)

    Google Scholar 

  6. Mehdi, E.J., Nico, P., Julie, D., Bernard, P.: Modeling Character Emotion in an Interactive Virtual Environment. In: Proceedings of AISB 2004 Symposium: Motion, Emotion and Cognition, Leeds, UK (2004)

    Google Scholar 

  7. McCrae, R.R., John, O.P.: An Introduction to the Five Factor Model and Its Application. Journal of Personality 60, 175–215 (1992)

    Article  Google Scholar 

  8. Gratch, J., Marsella, S.: A Domain-Independent Framework for Modeling Emotion. Journal of Cognitive Systems Research 5(4), 269–306 (2004)

    Article  Google Scholar 

  9. Egges, A., Kshirsagar, S., Magnenat-Thalmann, N.: A Model for Personality and Emotion Simulation. In: Proceedings of Knowledge-Based Intelligent Information & Engineering Systems (KES 2003). Lecture Notes in AI. Springer, Berlin (2003)

    Google Scholar 

  10. Elliott, C., Rickel, J., Lester, J.: Integrating Affective Computing into Animated Tutoring Agents. In: Proceedings of IJCAI 1997 Workshop on Intelligent Interface Agents (1997)

    Google Scholar 

  11. Mateas, M.: Ph.D. Thesis. Interactive Drama, Art and Artificial Intelligence. School of Computer Science, Carnegie Mellon University (2002)

    Google Scholar 

  12. Zhe, X., Boucouvalas, A.C.: Text-to-Emotion Engine for Real Time Internet Communication. In: Proceedings of International Symposium on Communication Systems, Networks and DSPs, Staffordshire University, UK, pp. 164–168 (2002)

    Google Scholar 

  13. Boucouvalas, A.C.: Real Time Text-to-Emotion Engine for Expressive Internet Communications. In: Riva, G., Davide, F., IJsselsteijn, W. (eds.) Being There: Concepts, Effects and Measurement of User Presence in Synthetic Environments, pp. 305–318 (2002)

    Google Scholar 

  14. Craggs, R., Wood, M.: A Two Dimensional Annotation Scheme for Emotion in Dialogue. In: Proceedings of AAAI Spring Symposium: Exploring Attitude and Affect in Text. (2004)

    Google Scholar 

  15. Fussell, S., Moss, M.: Figurative Language in Emotional Communication. In: Fussell, S.R., Kreuz, R.J. (eds.) Social and Cognitive Approaches to Interpersonal Communication, pp. 113–142. Lawrence Erlbaum, Mahwah (1998)

    Google Scholar 

  16. Kövecses, Z.: Are There Any Emotion-Specific Metaphors? In: Athanasiadou, A., Tabakowska, E. (eds.) Speaking of Emotions: Conceptualization and Expression, pp. 127–151. Mouton de Gruyter, Berlin (1998)

    Chapter  Google Scholar 

  17. Barnden, J.A., Glasbey, S.R., Lee, M.G., Wallington, A.M.: Varieties and Directions of Inter-domain Influence in Metaphor. Metaphor and Symbol 19(1), 1–30 (2004)

    Article  Google Scholar 

  18. Watson, D., Tellegen, A.: Toward a Consensual Structure of Mood. Psychological Bulletin 98, 219–235 (1985)

    Article  Google Scholar 

  19. Briscoe, E., Carroll, J.: Robust Accurate Statistical Annotation of General Text. In: Proceedings of the 3rd International Conference on Language Resources and Evaluation, Las Palmas, Gran Canaria, pp. 1499–1504 (2002)

    Google Scholar 

  20. Metaphone Algorithm, http://aspell.net/metaphone/

  21. Levenshtein Distance Algorithm, http://www.merriampark.com/ld.htm

  22. Jess, The Rule Engine for Java Platform (2004), http://herzberg.ca.sandia.gov/jess/

  23. Heise, D.R.: Semantic Differential Profiles for 1,000 Most Frequent English Words. Psychological Monographs 79, 1–31 (1965)

    Google Scholar 

  24. WordNet, A Lexical Database for the English Language. Version 2.1 Cognitive Science Laboratory. Princeton University

    Google Scholar 

  25. Wallington, A.M., Barnden, J.A., Glasbey, S.R., Lee, M.G.: Metaphorical reasoning with an economical set of mappings. Delta 22(1), 147–171 (2006)

    Google Scholar 

  26. Barnden, J.A.: Metaphor, Semantic Preferences and Context-sensitivity. In: Festschrifft. Kluwer, Dordrecht (forthcoming)

    Google Scholar 

  27. Moon, R.: Fixed idioms and expressions in English. Clarendon Press, Oxford (1988)

    Google Scholar 

  28. Deignan, A.: Metaphor and corpus Linguistics. John Benjamins, Amsterdam (2005)

    Google Scholar 

  29. Goatly, A.: The language of metaphors. Routledge, London (1997)

    Google Scholar 

  30. Wallington, A.M., Barnden, J.A., Barnden, M.A., Ferguson, F.J., Glasbey, S.R.: Metaphoricity Signals: A Corpus-Based Investigation. Technical Report CSRP-03-5, School of Computer Science, The University of Birmingham, U.K (2003)

    Google Scholar 

  31. Wilks, Y.: Making preferences more active. Artificial Intelligence 10, 75–97 (1978)

    Google Scholar 

  32. Fass, D.: Processing metaphor and metonymy. Ablex, Greenwich (1997)

    Google Scholar 

  33. Mason, Z.J.: CorMet: a computational, corpus-based conventional metaphor extraction system. Computational Linguistics 30(1), 23–44 (2004)

    Article  Google Scholar 

  34. Sharoff, S.: How to Handle Lexical Semantics in SFL: a Corpus Study of Purposes for Using Size Adjectives. In: Systemic Linguistics and Corpus. Continuum, London (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Computer Science, University of Birmingham, Birmingham, B15 2TT, UK

    Li Zhang, John A. Barnden, Robert J. Hendley & Alan M. Wallington

Authors
  1. Li Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. John A. Barnden
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Robert J. Hendley
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Alan M. Wallington
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Institute for Creative Technologies, University of Southern California, 13274 Fiji Way, 90292, Marina Del Rey, CA, USA

    Jonathan Gratch

  2. Music Department, Goldsmiths, University of London, New Cross, SE14 6NW, London, UK

    Michael Young

  3. School of Mathematical and Computer Sciences, Heriot Watt University, EH14 4AS, Edinburgh, Scotland

    Ruth Aylett

  4. BT plc, Adastral Park, IP5 3RE, Ipswich, UK

    Daniel Ballin

  5. School of Computing Science, Culture Lab, Newcastle University, NE1 7RU, Newcastle upon Tyne, UK

    Patrick Olivier

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Zhang, L., Barnden, J.A., Hendley, R.J., Wallington, A.M. (2006). Exploitation in Affect Detection in Improvisational E-Drama. In: Gratch, J., Young, M., Aylett, R., Ballin, D., Olivier, P. (eds) Intelligent Virtual Agents. IVA 2006. Lecture Notes in Computer Science(), vol 4133. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11821830_6

Download citation

  • DOI: https://doi.org/10.1007/11821830_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-37593-7

  • Online ISBN: 978-3-540-37594-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation