Publication Details

Gaze and Conversational Engagement in Multiparty Video Conversation: An annotation scheme and classification

BEDNAŘÍK, R.; EIVAZI, S.; HRADIŠ, M. Gaze and Conversational Engagement in Multiparty Video Conversation: An annotation scheme and classification. 4th Workshop on Eye Gaze in Intelligent Human Machine Interaction. Santa Monica: Association for Computing Machinery, 2012. p. 1-5. ISBN: 978-1-4503-1516-6.
Czech title
Pohled a úroveň zapojení do konverzace při telekonferencích: anotační schéma a klasifikace
Type
conference paper
Language
English
Authors
Bednařík Roman
Eivazi Shahram
Hradiš Michal, Ing., Ph.D. (DCGM)
Keywords

gaze tracking

Abstract

When using a multiparty video mediated system, interacting partic-ipants assume a range of various roles and exhibit behaviors accord-ing to how engaged in the communication they are. In this paper we focus on estimation of conversational engagement fromgaze signal. In particular, we present an annotation scheme for conversational engagement, a statistical analysis of gaze data across varying levels of engagement, and we classify vectors of computed eye tracking measures. The results show that in 74% of cases the level of en-gagement can be correctly classified.

Published
2012
Pages
1–5
Proceedings
4th Workshop on Eye Gaze in Intelligent Human Machine Interaction
ISBN
978-1-4503-1516-6
Publisher
Association for Computing Machinery
Place
Santa Monica
DOI
10.1145/2401836.2401846
BibTeX 
@inproceedings{BUT97049,
  author="Roman {Bednařík} and Shahram {Eivazi} and Michal {Hradiš}",
  title="Gaze and Conversational Engagement in Multiparty Video Conversation: An annotation scheme and classification",
  booktitle="4th Workshop on Eye Gaze in Intelligent Human Machine Interaction",
  year="2012",
  pages="1--5",
  publisher="Association for Computing Machinery",
  address="Santa Monica",
  doi="10.1145/2401836.2401846",
  isbn="978-1-4503-1516-6"
}
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