By Jan van Kuppevelt, Laila Dybkjær, Niels Ole Bernsen
The most subject of this quantity is ordinary multimodal interplay. The ebook is exclusive in that it brings jointly a very good many contributions concerning facets of typical and multimodal interplay written by way of a few of the very important actors within the box. issues addressed comprise speaking heads, conversational brokers, tutoring platforms, multimodal conversation, laptop studying, architectures for multimodal discussion structures, structures evaluate, and information annotation.
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Additional info for Advances in Natural Multimodal Dialogue Systems (Text, Speech and Language Technology)
These results may be telling us that REA’s nonverbal behaviour inadvertently projected an unfriendly, introverted personality that was especially inappropriate for social dialogue. REA’s model of non-verbal behaviour, at the time of this experiment, was limited to those behaviours linked to the discourse context. Thus, REA’s smiles were limited to those related to the ends of turns, and she did not have a model of immediacy or other nonverbal cues for liking and warmth typical of social interaction [Argyle, 1988].
2 Effects on task measure. 4. While potentially very signiﬁcant, this ﬁnding is a little difﬁcult to explain, especially given that trust did not seem to play a role in the evaluation. Perhaps, since we asked our subjects to play the role of someone looking for an apartment, and given that the apartments displayed were cartoon renditions, the subjects may not have felt personally invested in the outcome, and thus may have been more likely to be persuaded by associative factors like the perceived liking and credibility of REA.
Topic REA keeps track of the current and past conversational topics. Conversational moves which stay within topic (maintain topic coherence) are given preference over those which do not. , from talk about the weather, to talk about Boston weather, to talk about Boston real estate). Relevance REA maintains a list of topics that she thinks the user knows about, and the discourse planner prefers moves which involve topics in this list. The list is initialized to things that anyone talking to REA would know about – such as the weather outside, Cambridge, MIT, or the laboratory that REA lives in.
Advances in Natural Multimodal Dialogue Systems (Text, Speech and Language Technology) by Jan van Kuppevelt, Laila Dybkjær, Niels Ole Bernsen