By Jan van Kuppevelt, Laila Dybkjær, Niels Ole Bernsen
The most subject of this quantity is ordinary multimodal interplay. The e-book is exclusive in that it brings jointly a very good many contributions relating to features of average and multimodal interplay written by way of a number of the very important actors within the box. issues addressed comprise conversing heads, conversational brokers, tutoring structures, multimodal verbal exchange, computer studying, architectures for multimodal discussion platforms, structures review, and information annotation.
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Additional resources for Advances in Natural Multimodal Dialogue Systems (Text, Speech and Language Technology)
These systems vary in their linguistic generativity, input modalities, and task domains, but all aim to engage the user in natural, embodied conversation. Little work has been done on modelling social dialogue with ECAs. The August system is an ECA kiosk designed to give information about local restaurants and other facilities. In an experiment to characterize the kinds of things that people would say to such an agent, over 10,000 utterances from over 2,500 users were collected. , 1999]. 2 Related Studies on Embodied Conversational Agents Koda and Maes  and Takeuchi and Naito  studied interfaces with static or animated faces, and found that users rated them to be more engaging and entertaining than functionally equivalent interfaces without a face.
In human-human conversation participants often engage in talk that, on the surface, does not seem to move the dialogue forward at all. However, this talk – about the weather, current events, and many other topics without signiﬁcant overt relationship to the task at hand – may, in fact, be essential to how humans obtain information about one another’s goals and plans and decide whether collaborative work is worth engaging in at all. J. van Kuppevelt et al. ), Advances in Natural Multimodal Dialogue Systems, 23–54.
In order to answer these questions, we conducted an empirical study in which subjects were interviewed by REA about their housing needs, shown two “virtual” apartments, and then asked to submit a bid on one of them. For the purpose of the experiment, REA was controlled by a human wizard and followed scripts identical to the output of the planner (but faster, and not dependent on automatic speech recognition or computational vision). Users interacted with one of two versions of REA which were identical except that one had only task-oriented dialogue (TASK condition) while the other also included the social dialogue designed to avoid face threat, and increase trust (SOCIAL condition).
Advances in Natural Multimodal Dialogue Systems (Text, Speech and Language Technology) by Jan van Kuppevelt, Laila Dybkjær, Niels Ole Bernsen