Detail publikace

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

BEDNAŘÍK, R. EIVAZI, S. HRADIŠ, M.

Originální název

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

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

gaze tracking

Autoři

BEDNAŘÍK, R.; EIVAZI, S.; HRADIŠ, M.

Rok RIV

2012

Vydáno

22. 10. 2012

Nakladatel

Association for Computing Machinery

Místo

Santa Monica

ISBN

978-1-4503-1516-6

Kniha

4th Workshop on Eye Gaze in Intelligent Human Machine Interaction

Strany od

1

Strany do

5

Strany počet

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"
}