Abstract
We describe our experience with the design, implementation and revision of a dynamic user model for adapting health promotion dialogs with ECAs to the ‘stage of change’ of the users and to their ‘social’ attitude toward the agent. The user model was built by learning a bayesian network from a corpus of data collected with a Wizard of Oz study. We discuss how uncertainty in the recognition of the user’s mental state may be reduced by integrating a simple linguistic parser with knowledge about the interaction context represented in the model.
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References
Andersen, P.A., Guerrero, L.K.: The brightside of relational communication: interpersonal warmth as a social emotion. In: Andersen, P.A., Guerrero, L.K. (eds.) Handbook of Communication and Emotions. Research, theory, applications and contexts. Academic Press, London (1998)
Cavalluzzi, A., Carofiglio, V., de Rosis, F.: Affective advice giving dialogs. In: André, E., Dybkjær, L., Minker, W., Heisterkamp, P. (eds.) ADS 2004. LNCS (LNAI), vol. 3068, pp. 77–88. Springer, Heidelberg (2004)
Cooper, G.F., Herskovitz, E.: A Bayesian method for the induction of probabilistic networks from data. Machine Learning 9 (1992)
de Rosis, F., Cavalluzzi, A., Mazzotta, I., Novielli, N.: Can embodied conversational agents induce empathy in users? In: AISB Virtual Social Characters Symposium (2005)
Di Eugenio, B., Glass, M.: The Kappa statistics, a second look. Computational Linguistics (2004)
Jensen, F.V.: Bayesian Networks and Decision Graphs. Springer, Heidelberg (2001)
Lee, C.M., Narayanan, S.S., Pieraccini, R.: Combining acoustic and language information for emotion recognition. In: Proc. Of ICSLP (2002)
Litman, D., Forbes, K., Silliman, S.: Towards emotion prediction in spoken tutoring dialogues. In: Proc. of HLT/NAACL (2003)
Miceli, M., de Rosis, F., Poggi, I.: Emotional and non emotional persuasion. Applied Artificial Intelligence: an International Journal (in press)
Nass, C., Moon, Y., Fogg, B.J., Dryer, D.C.: Can computer personalities be human personalities? Int. J. Human-Computer Studies 43 (1995)
Prochaska, J., Di Clemente, C., Norcross, H.: In search of how people change: applications to addictive behavior. Americal Psychologist 47 (1992)
Sillince, J.A., Minors, R.H.: What makes a strong argument? Emotions, highly-placed values and role-playing. Communication and Cognition (1991)
Walton, D.: The place of emotion in argument. The Pennsylvania State University Press (1992)
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Carofiglio, V., de Rosis, F., Novielli, N. (2005). Dynamic User Modeling in Health Promotion Dialogs. In: Tao, J., Tan, T., Picard, R.W. (eds) Affective Computing and Intelligent Interaction. ACII 2005. Lecture Notes in Computer Science, vol 3784. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11573548_93
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DOI: https://doi.org/10.1007/11573548_93
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29621-8
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