DocumentCode :
3193339
Title :
Honest signals in video conferencing
Author :
Byun, Byungki ; Awasthi, Anurag ; Chou, Philip A. ; Kapoor, Ashish ; Lee, Bongshin ; Czerwinski, Mary
Author_Institution :
Microsoft Research, Redmond, WA, 98052, USA
fYear :
2011
fDate :
11-15 July 2011
Firstpage :
1
Lastpage :
6
Abstract :
We propose a novel system to analyze gestural and nonverbal cues of participants in video conferencing. These cues have previously been referred to as “honest signals” and are usually associated with the underlying cognitive state of the participants. The presented system analyzes a set of audio-visual, non-linguistic features in real time from the audio and video streams of two participants in a video conference. We show how these features can be used to compute indicators of the overall quality and type of conversation being held. The system also provides visual feedback to the participants, who then have the choice of modifying their conversational style in order to achieve the desired outcome of the video conference. Experiments on real-life data show that the system can predict the type of conversation with high accuracy using the non-linguistic signals only. Qualitative user studies highlight the positive effects of increased awareness amongst the participants about their own gestural and non-verbal cues.
Keywords :
Non-verbal behavior; gesture analysis; honest signals; video conference;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo (ICME), 2011 IEEE International Conference on
Conference_Location :
Barcelona, Spain
ISSN :
1945-7871
Print_ISBN :
978-1-61284-348-3
Electronic_ISBN :
1945-7871
Type :
conf
DOI :
10.1109/ICME.2011.6011855
Filename :
6011855
Link To Document :
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