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Authors: Jonathan Kvist 1 ; Philip Ekholm 1 ; Preethi Vaidyanathan 2 ; Reynold Bailey 3 and Cecilia Alm 3

Affiliations: 1 Department of Computer Science and Media Technology, Malmö University, Nordenskiöldsgatan 1, Malmö, Sweden ; 2 Eyegaze Inc., 10363 Democracy Lane, Fairfax, VA 22030, U.S.A. ; 3 Rochester Institute of Technology, 1 Lomb Memorial Drive, Rochester, NY 14623, U.S.A.

ISBN: 978-989-758-402-2

ISSN: 2184-4321

Keyword(s): Eye-tracking, Dialogue, Multimodal Visualization.

Abstract: We report and review a visualization system capable of displaying gaze and speech data elicited from pairs of subjects interacting in a discussion. We elicit such conversation data in our first experiment, where two participants are given the task of reaching a consensus about questions involving images. We validate the system in a second experiment where the purpose is to see if a person could determine which question had elicited a certain visualization. The visualization system allows users to explore reasoning behavior and participation during multimodal dialogue interactions.

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Paper citation in several formats:
Kvist, J.; Ekholm, P.; Vaidyanathan, P.; Bailey, R. and Alm, C. (2020). Dynamic Visualization System for Gaze and Dialogue Data.In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: HUCAPP, ISBN 978-989-758-402-2, ISSN 2184-4321, pages 138-145. DOI: 10.5220/0008953201380145

@conference{hucapp20,
author={Jonathan Kvist. and Philip Ekholm. and Preethi Vaidyanathan. and Reynold Bailey. and Cecilia Ovesdotter Alm.},
title={Dynamic Visualization System for Gaze and Dialogue Data},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: HUCAPP,},
year={2020},
pages={138-145},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008953201380145},
isbn={978-989-758-402-2},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: HUCAPP,
TI - Dynamic Visualization System for Gaze and Dialogue Data
SN - 978-989-758-402-2
AU - Kvist, J.
AU - Ekholm, P.
AU - Vaidyanathan, P.
AU - Bailey, R.
AU - Alm, C.
PY - 2020
SP - 138
EP - 145
DO - 10.5220/0008953201380145

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