Abstract
The monitoring of emotional user states can help to assess the progress of human-machine-communication. If we look at specific databases, however, we are faced with several problems: users behave differently, even within one and the same setting, and some phenomena are sparse; thus it is not possible to model and classify them reliably. We exemplify these difficulties on the basis of SympaFly, a database with dialogues between users and a fully automatic speech dialogue telephone system for flight reservation and booking, and discuss possible remedies.
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Batliner, A., Hacker, C., Steidl, S., Nöth, E., Haas, J. (2004). From Emotion to Interaction: Lessons from Real Human-Machine-Dialogues. In: André, E., Dybkjær, L., Minker, W., Heisterkamp, P. (eds) Affective Dialogue Systems. ADS 2004. Lecture Notes in Computer Science(), vol 3068. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24842-2_1
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DOI: https://doi.org/10.1007/978-3-540-24842-2_1
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