Abstract
We propose a method to recognize the ’social attitude’ of users towards an Embodied Conversational Agent (ECA) from a combination of linguistic and prosodic features. After describing the method and the results of applying it to a corpus of dialogues collected with a Wizard of Oz study, we discuss the advantages and disadvantages of statistical and machine learning methods if compared with other knowledge-based methods.
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de Rosis, F., Batliner, A., Novielli, N., Steidl, S. (2007). ’You are Sooo Cool, Valentina!’ Recognizing Social Attitude in Speech-Based Dialogues with an ECA. In: Paiva, A.C.R., Prada, R., Picard, R.W. (eds) Affective Computing and Intelligent Interaction. ACII 2007. Lecture Notes in Computer Science, vol 4738. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74889-2_17
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DOI: https://doi.org/10.1007/978-3-540-74889-2_17
Publisher Name: Springer, Berlin, Heidelberg
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