Abstract
Most commercial dialogue applications are very task-oriented and take little account of indirect user desires or emotional behaviour. As a result, interaction is often inefficient and can lead to user dissatisfaction. The SemanticEdge system described here allows for more responsive dialogue applications, where different users with disparate needs are dynamically classified and their emotions are identified in the course of the dialogue. This reasoning about the specific user (their goals, desires and behaviour), coupled with reasoning about the main interaction task of the dialogue, allows for more appropriate system responses, e.g. in the case of misunderstandings and user anger or in targeted marketing activities.
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© 2002 Springer-Verlag Berlin Heidelberg
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Dabiri, G., Brown, M., Aretoulaki, M., Nitzsche, M. (2002). A User-Sensitive Spoken Dialogue System Incorporating Emotional Responsiveness. In: Vlahavas, I.P., Spyropoulos, C.D. (eds) Methods and Applications of Artificial Intelligence. SETN 2002. Lecture Notes in Computer Science(), vol 2308. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46014-4_14
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DOI: https://doi.org/10.1007/3-540-46014-4_14
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