Selecting appropriate agent responses based on non-content features


Maat, Mark ter and Heylen, Dirk (2010) Selecting appropriate agent responses based on non-content features. In: 3rd International Workshop on Affective Interaction in Natural Environments, AFFINE 2010, 25-29 October 2010, Firenze, Italy (pp. pp. 33-36).

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Abstract:This paper describes work-in-progress on a study to create models of responses of virtual agents that are selected only based on non-content features, such as prosody and facial expressions. From a corpus of human-human interactions, in which one person was playing the part of an agent and the second person a user, we extracted the turns of the user and gave these to annotators. The annotators had to select utterances from a list of phrases in the repertoire of our agent that would be a good response to the user utterance. The corpus is used to train response selection models based on automatically extracted features and on human annotations of the user-turns.
Item Type:Conference or Workshop Item
Copyright:© 2010 ACM
Electrical Engineering, Mathematics and Computer Science (EEMCS)
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