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Telepresence robot that exaggerates non-verbal cues for taking turns in multi-party teleconferences

Published:29 October 2014Publication History

ABSTRACT

In this paper, we propose a telepresence robot that exaggerates non-verbal cues for taking turns in multi- party teleconferences. In multi-party teleconferences, it is more difficult that the remote participants to take their turns than face-to-face. Therefore, it is assumed that the remote participants' turns are tended to decrease. It is said that addressee tends to be next speaker. Therefore, becoming addressee is previous step to become speaker and take turns. In order to make remote participant become addressee, proposed system recognized remote participant's non-verbal cues such as attention directions, nod motions and back- channels. Then, the system exaggerates the cues and expresses them as the telepresence robot's motions.

References

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  1. Telepresence robot that exaggerates non-verbal cues for taking turns in multi-party teleconferences

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          • Published in

            cover image ACM Other conferences
            HAI '14: Proceedings of the second international conference on Human-agent interaction
            October 2014
            412 pages
            ISBN:9781450330350
            DOI:10.1145/2658861

            Copyright © 2014 Owner/Author

            Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

            Publisher

            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 29 October 2014

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            • abstract

            Acceptance Rates

            HAI '14 Paper Acceptance Rate27of62submissions,44%Overall Acceptance Rate121of404submissions,30%

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