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INTETAIN
2005
Springer

Grounding Emotions in Human-Machine Conversational Systems

9 years 27 days ago
Grounding Emotions in Human-Machine Conversational Systems
In this paper we investigate the role of user emotions in human-machine goal-oriented conversations. There has been a growing interest in predicting emotions from acted and non-acted spontaneous speech. Much of the research work has gone in determining what are the correct labels and improving emotion prediction accuracy. In this paper we evaluate the value of user emotional state towards a computational model of emotion processing. We consider a binary representation of emotions (positive vs. negative) in the context of a goal-driven conversational system. For each human-machine interaction we acquire the temporal emotion sequence going from the initial to the final conversational state. These traces are used as features to characterize the user state dynamics. We ground the emotion traces by associating its patterns to dialog strategies and their effectiveness. In order to quantify the value of emotion indicators, we evaluate their predictions in terms of speech recognition and spo...
Giuseppe Riccardi, Dilek Z. Hakkani-Tür
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where INTETAIN
Authors Giuseppe Riccardi, Dilek Z. Hakkani-Tür
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