Participation in natural, real-time dialogue calls for behaviors supported by perception-action cycles from around 100 msec and up. Generating certain kinds of such behaviors, namely envelope feedback, has been possible since the early 90s. Real-time backchannel feedback related to the content of a dialogue has been more difficult to achieve. In this paper we describe our progress in allowing virtual humans to give rapid within-utterance content-specific feedback in real-time dialogue. We present results from human-subject studies of content feedback, where results show that content feedback to a particular phrase or word in human-human dialogue comes 560-2500 msec from the phrase's onset, 1 second on average. We also describe a system that produces such feedback with an autonomous agent in limited topic domains, present performance data of this agent in human-agent interactions experiments and discuss technical challenges in light of the observed human-subject data. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Jonsdottir, G. R., Gratch, J., Fast, E., & Thórisson, K. R. (2007). Fluid semantic back-channel feedback in dialogue: Challenges and progress. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4722 LNCS, pp. 154–160). Springer Verlag. https://doi.org/10.1007/978-3-540-74997-4_15
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