Publication detail

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

BEDNAŘÍK, R. EIVAZI, S. HRADIŠ, M.

Original Title

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

Type

article in a collection out of WoS and Scopus

Language

English

Original 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.

Keywords

gaze tracking

Authors

BEDNAŘÍK, R.; EIVAZI, S.; HRADIŠ, M.

RIV year

2012

Released

22. 10. 2012

Publisher

Association for Computing Machinery

Location

Santa Monica

ISBN

978-1-4503-1516-6

Book

4th Workshop on Eye Gaze in Intelligent Human Machine Interaction

Pages from

1

Pages to

5

Pages count

5

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"
}