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2021 | OriginalPaper | Chapter

A Web-Based Eye Tracking Data Visualization Tool

Authors : Hristo Bakardzhiev, Marloes van der Burgt, Eduardo Martins, Bart van den Dool, Chyara Jansen, David van Scheppingen, Günter Wallner, Michael Burch

Published in: Pattern Recognition. ICPR International Workshops and Challenges

Publisher: Springer International Publishing

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Abstract

Visualizing eye tracking data can provide insights in many research fields. However, visualizing such data efficiently and cost-effectively is challenging without well-designed tools. Easily accessible web-based approaches equipped with intuitive and interactive visualizations offer to be a promising solution. Many of such tools already exist, however, they mostly use one specific visualization technique. In this paper, we describe a web application which uses a combination of different visualization methods for eye tracking data. The visualization techniques are interactively linked to provide several perspectives on the eye tracking data. We conclude the paper by discussing challenges, limitations, and future work.

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Title: A Web-Based Eye Tracking Data Visualization Tool
Authors: Hristo Bakardzhiev
Marloes van der Burgt
Eduardo Martins
Bart van den Dool
Chyara Jansen
David van Scheppingen
Günter Wallner
Michael Burch
Publisher: Springer International Publishing
Book: Pattern Recognition. ICPR International Workshops and Challenges
Print ISBN: 978-3-030-68795-3

Electronic ISBN: 978-3-030-68796-0

Copyright Year: 2021
DOI: https://doi.org/10.1007/978-3-030-68796-0_29

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