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

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.

CC BY-NC-ND 4.0

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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 (VISIGRAPP 2020) - HUCAPP; ISBN 978-989-758-402-2; ISSN 2184-4321, SciTePress, 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 (VISIGRAPP 2020) - HUCAPP},
year={2020},
pages={138-145},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008953201380145},
isbn={978-989-758-402-2},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - HUCAPP
TI - Dynamic Visualization System for Gaze and Dialogue Data
SN - 978-989-758-402-2
IS - 2184-4321
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
PB - SciTePress

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