A Web-Based Eye Tracking Data Visualization Tool

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

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

2 Citaten (Scopus)


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.

Originele taal-2Engels
TitelPattern Recognition. ICPR International Workshops and Challenges, 2021, Proceedings
RedacteurenAlberto Del Bimbo, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella, Tao Mei, Marco Bertini, Hugo Jair Escalante, Roberto Vezzani
Aantal pagina's15
ISBN van geprinte versie9783030687953
StatusGepubliceerd - 2021
Evenement25th International Conference on Pattern Recognition Workshops, ICPR 2020 - Milan, Italië
Duur: 10 jan. 202115 jan. 2021
Congresnummer: 25

Publicatie series

NaamLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12663 LNCS
ISSN van geprinte versie0302-9743
ISSN van elektronische versie1611-3349


Congres25th International Conference on Pattern Recognition Workshops, ICPR 2020
Verkorte titelICPR 2020
Internet adres

Bibliografische nota

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

Copyright 2021 Elsevier B.V., All rights reserved.


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