Eye tracking support for visual analytics systems: foundations, current applications, and research challenges: foundations, current applications, and research challenges

Nelson De Jesus Silverio da Silva, Tanja Blascheck, Radu Jianu, Nils Rodgrigues, Daniel Weiskopf, Martin Raubal, Tobias Schreck

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Visual analytics (VA) research provides helpful solutions for interactive visual data analysis when exploring large and complex datasets. Due to recent advances in eye tracking technology, promising opportunities arise to extend these traditional VA approaches. Therefore, we discuss foundations for eye tracking support in VA systems. We first review and discuss the structure and range of typical VA systems. Based on a widely used VA model, we present five comprehensive examples that cover a wide range of usage scenarios. Then, we demonstrate that the VA model can be used to systematically explore how concrete VA systems could be extended with eye tracking, to create supportive and adaptive analytics systems. This allows us to identify general research and application opportunities, and classify them into research themes. In a call for action, we map the road for future research to broaden the use of eye tracking and advance visual analytics.
Original languageEnglish
Title of host publicationProceedings of the 11th ACM Symposium on Eye Tracking Research & Applications - ETRA '19
Place of PublicationNew York, NY
PublisherAssociation of Computing Machinery
Number of pages10
ISBN (Print)9781450367097
DOIs
Publication statusPublished - 5 Jun 2019
Event11th ACM Symposium on Eye Tracking Research & Applications - Denver, United States
Duration: 25 Jun 201928 Jun 2019

Conference

Conference11th ACM Symposium on Eye Tracking Research & Applications
Abbreviated titleETRA 19
CountryUnited States
CityDenver
Period25/06/1928/06/19

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