Samenvatting
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-2 | Engels |
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Titel | Pattern Recognition. ICPR International Workshops and Challenges, 2021, Proceedings |
Redacteuren | Alberto Del Bimbo, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella, Tao Mei, Marco Bertini, Hugo Jair Escalante, Roberto Vezzani |
Uitgeverij | Springer |
Pagina's | 405-419 |
Aantal pagina's | 15 |
ISBN van geprinte versie | 9783030687953 |
DOI's | |
Status | Gepubliceerd - 2021 |
Evenement | 25th International Conference on Pattern Recognition Workshops, ICPR 2020 - Milan, Italië Duur: 10 jan. 2021 → 15 jan. 2021 Congresnummer: 25 https://www.micc.unifi.it/icpr2020/ |
Publicatie series
Naam | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 12663 LNCS |
ISSN van geprinte versie | 0302-9743 |
ISSN van elektronische versie | 1611-3349 |
Congres
Congres | 25th International Conference on Pattern Recognition Workshops, ICPR 2020 |
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Verkorte titel | ICPR 2020 |
Land/Regio | Italië |
Stad | Milan |
Periode | 10/01/21 → 15/01/21 |
Internet adres |
Bibliografische nota
Publisher Copyright:© 2021, Springer Nature Switzerland AG.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.