Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/93219
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dc.contributor.authorConstable, Martinen
dc.contributor.authorDauwels, Justinen
dc.contributor.authorDauwels, Shokoen
dc.contributor.authorElgendi, Mohameden
dc.contributor.authorMengyu, Zhouen
dc.contributor.authorRasheed, Umeren
dc.contributor.authorTahir, Yasiren
dc.contributor.authorThalmann, Danielen
dc.contributor.authorMagnenat-Thalmann, Nadiaen
dc.contributor.authorSarda, Sanaten
dc.contributor.editorMariani, Josephen
dc.contributor.editorRosset, Sophieen
dc.contributor.editorGarnier-Rizet, Martineen
dc.contributor.editorDevillers, Laurenceen
dc.date.accessioned2014-02-04T08:10:54Zen
dc.date.accessioned2019-12-06T18:35:51Z-
dc.date.available2014-02-04T08:10:54Zen
dc.date.available2019-12-06T18:35:51Z-
dc.date.copyright2014en
dc.date.issued2014en
dc.identifier.citationSarda, S., Constable, M., Dauwels, J., Dauwels, S., Elgendi, M., Mengyu, Z., et al. (2014). Real-Time Feedback System for Monitoring and Facilitating Discussions. In J. Mariani, S. Rosset, M. Garnier-Rizet & L. Devillers (Eds.), Natural Interaction with Robots, Knowbots and Smartphones (pp. 375-387): Springer New York.en
dc.identifier.isbn978-1-4614-8279-6en
dc.identifier.urihttps://hdl.handle.net/10356/93219-
dc.description.abstractIn this chapter, we present a system that provides real-time feedback about an ongoing discussion. Various speech statistics, such as speaking length, speaker turns and speaking turn duration, are computed and displayed in real time. In social monitoring, such statistics have been used to interpret and deduce talking mannerisms of people and gain insights on human social characteristics and behaviour. However, such analysis is usually conducted in an offline fashion, after the discussion has ended. In contrast, our system analyses the speakers and provides feedback to the speakers in real time during the discussion, which is a novel approach with plenty of potential applications. The proposed system consists of portable, easy to use equipment for recording the conversations. A user-friendly graphical user interface displays statistics about the ongoing discussion. Customized individual feedback to participants during conversation can be provided. Such close-loop design may help individuals to contribute effectively in the group discussion, potentially leading to more productive and perhaps shorter meetings. Here we present preliminary results on two-people face to face discussion. In the longer term, our system may prove to be useful, e.g. for coaching purposes and for facilitating business meetings.en
dc.format.extent6 p.en
dc.language.isoenen
dc.publisherSpringer Science+ Business Media New Yorken
dc.rights© 2014 Springer, Part of Springer Science+Business Media.en
dc.subjectDRNTU::Social sciences::Communicationen
dc.titleReal-time feedback system for monitoring and facilitating discussionsen
dc.typeBook Chapteren
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen
dc.contributor.schoolSchool of Art, Design and Mediaen
dc.contributor.researchInstitute for Media Innovationen
dc.identifier.doi10.1007/978-1-4614-8280-2_34en
item.grantfulltextopen-
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