Advances in Natural Multimodal Dialogue Systems (Text, by Jan van Kuppevelt, Laila Dybkjær, Niels Ole Bernsen

By Jan van Kuppevelt, Laila Dybkjær, Niels Ole Bernsen

The major subject of this quantity is usual multimodal interplay. The e-book is exclusive in that it brings jointly a very good many contributions concerning points of usual and multimodal interplay written through the various very important actors within the box. issues addressed contain speaking heads, conversational brokers, tutoring structures, multimodal verbal exchange, computer studying, architectures for multimodal discussion platforms, platforms evaluate, and knowledge annotation.

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In particular, when speaking to what they believed to be a computer, subject’s utterances used a small vocabulary, often sounding like system commands, with very few task-unrelated utterances, and fewer filled pauses and other disfluencies. These results were extended in research conducted by Oviatt [Oviatt, 1995; Oviatt and Adams, 2000; Oviatt, 1998], in which she found that speech to a computer system was characterized by a low rate of disfluencies relative to speech to a co-present human. She also noted that visual feedback has an effect on disfluency: telephone calls have a higher rate of disfluency than co-present dialogue.

Affect represents the degree of liking the interactants have for each other, and there is evidence that this is an independent relational attribute from the above three [Brown and Gilman, 1989]. The mechanisms by which small talk are hypothesized to effect trust include facework, coordination, building common ground, and reciprocal appreciation. Facework The notion of “face” is “the positive social value a person effectively claims for himself by the social role others assume he has taken during a particular contact” [Goffman, 1967].

Uhhuh”). , 2000b]. , 2000a]. REA is an embodied, multi-modal real-time conversational interface agent which implements the conversational protocols described above in order to make interactions as natural as face-toface conversation with another person. 1). 1. User interacting with REA. REA has a fully articulated graphical body, can sense the user passively through cameras and audio input, and is capable of speech with intonation, facial display, and gestural output. The system currently consists of a large projection screen on which REA is displayed and which the user stands in front of.

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