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Recognizing, Modeling, and Responding to Users’ Affective States

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User Modeling 2005 (UM 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3538))

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Abstract

We describe a system that recognizes physiological data of users in real-time, interprets this information as affective states, and responds to affect by employing an animated agent. The agent assumes the role of an Empathic Companion in a virtual job interview scenario where it accompanies a human interviewee. While previously obtained results with the companion with were not significant, the analysis reported here demonstrates that empathic feedback of an agent may reduce user arousal while hearing interviewer questions. This outcome may prove useful for educational systems or applications that induce user stress.

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References

  1. Bickmore, T.: Relational Agents: Effecting Change through Human-Computer Relationships. PhD thesis, Massachusetts Institute of Technology (2003)

    Google Scholar 

  2. Cassell, J., Sullivan, J., Prevost, S., Churchill, E. (eds.): Embodied Conversational Agents. The MIT Press, Cambridge (2000)

    Google Scholar 

  3. Conati, C.: Probabilistic assessment of user’s emotions in educational games. Applied Artificial Intelligence 16, 555–575 (2002)

    Article  Google Scholar 

  4. Jensen, F.: Bayesian Networks and Decision Graphs. Springer, Berlin (2001)

    MATH  Google Scholar 

  5. Klein, J., Moon, Y., Picard, R.: This computer responds to user frustration: Theory, design, and results. Interacting with Computers 14, 119–140 (2002)

    Google Scholar 

  6. Lang, P.J.: The emotion probe: Studies of motivation and attention. American Psychologist 50, 372–385 (1995)

    Article  Google Scholar 

  7. Levenson, R.W.: Autonomic specifity and emotion. In: Davidson, R.J., Scherer, K.R., Goldsmith, H.H. (eds.) Handbook of Affective Sciences, pp. 212–224. Oxford University Press, Oxford (2003)

    Google Scholar 

  8. Microsoft: Developing for Microsoft Agent. Microsoft Press, Redmond (1998)

    Google Scholar 

  9. Norsys Software Corp. Netica (2003), http://www.norsys.com

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

    Google Scholar 

  11. Prendinger, H., Dohi, H., Wang, H., Mayer, S., Ishizuka, M.: Empathic embodied interfaces: Addressing users’ affective state. In: André, E., Dybkjær, L., Minker, W., Heisterkamp, P. (eds.) ADS 2004. LNCS (LNAI), vol. 3068, pp. 53–64. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  12. Life-Like Characters. Tools, Affective Functions, and Applications. In: Prendinger, H., Ishizuka, M. (eds.) Cognitive Technologies, Springer, Berlin (2004)

    Google Scholar 

  13. Prendinger, H., Mori, J., Ishizuka, M.: Using human physiology to evaluate subtle expressivity of a virtual quizmaster in a mathematical game. International Journal of Human-Computer Studies 62, 231–245 (2005)

    Article  Google Scholar 

  14. Reeves, B., Nass, C.: The Media Equation. How People Treat Computers, Television and New Media Like Real People and Places. CSLI Publications, Center for the Study of Language and Information. Cambridge University Press (1998)

    Google Scholar 

  15. Thought Technology Ltd (2002), http://www.thoughttechnology.com

  16. Ward, R., Marsden, P.: Physiological responses to different WEB page designs. International Journal of Human-Computer Studies 59, 199–212 (2003)

    Article  Google Scholar 

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© 2005 Springer-Verlag Berlin Heidelberg

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Prendinger, H., Mori, J., Ishizuka, M. (2005). Recognizing, Modeling, and Responding to Users’ Affective States. In: Ardissono, L., Brna, P., Mitrovic, A. (eds) User Modeling 2005. UM 2005. Lecture Notes in Computer Science(), vol 3538. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527886_9

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  • DOI: https://doi.org/10.1007/11527886_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-27885-6

  • Online ISBN: 978-3-540-31878-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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