Beyond Evaluation: Utilizing Gaze-Based Interactions for Digital Cartography
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F24%3A73625517" target="_blank" >RIV/61989592:15310/24:73625517 - isvavai.cz</a>
Result on the web
<a href="https://dl.acm.org/doi/10.1145/3649902.3655102" target="_blank" >https://dl.acm.org/doi/10.1145/3649902.3655102</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3649902.3655102" target="_blank" >10.1145/3649902.3655102</a>
Alternative languages
Result language
angličtina
Original language name
Beyond Evaluation: Utilizing Gaze-Based Interactions for Digital Cartography
Original language description
Despite the established use of eye-tracking in cartographic evaluation, its potential for interactive purposes is underutilized. The described dissertation aims to bridge the existing gap by developing a framework that incorporates gaze-based interactions within digital cartography. Next, we aim to empirically test their effectiveness in improving task completion speed, accuracy, information recall, and user satisfaction compared to traditional controls. Preliminary results using the GazePoint HD 3 eye-tracker within a Leaflet.js map application demonstrate this approach’s technical feasibility and potential benefits. The research methodology includes a PRISMA systematic review of current gaze-based interactions in cartography, the development of a web-based technological framework, and comprehensive empirical testing of hypotheses. Gaze-based interactions in cartography could benefit sectors with intensive map reliance, such as emergency response, by enabling faster task execution or education by simplifying the teaching of complex natural or social processes through gaze-adaptive map applications. By moving eye-tracking use from evaluation to interaction, the dissertation could offer a path for enhancing decision-making, learning, and operational efficiency in a world increasingly dependent on digital mapping solutions.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA23-06187S" target="_blank" >GA23-06187S: Identification of barriers in the process of communication of spatial socio-demographic information</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2024 Symposium on Eye Tracking Research and Applications
ISBN
979-8-4007-0607-3
ISSN
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e-ISSN
—
Number of pages
3
Pages from-to
"24-1"-"24-3"
Publisher name
Association for Computing Machinery
Place of publication
New York
Event location
Glasgow
Event date
Jun 4, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001244597300024