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. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4738 LNCS, pp. 179–190). Springer Verlag. https://doi.org/10.1007/978-3-540-74889-2_17
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
