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 language | English |
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Title of host publication | Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications - ETRA '19 |
Place of Publication | New York, NY |
Publisher | Association of Computing Machinery |
Number of pages | 10 |
ISBN (Print) | 9781450367097 |
DOIs | |
Publication status | Published - 5 Jun 2019 |
Event | 11th ACM Symposium on Eye Tracking Research & Applications - Denver, United States Duration: 25 Jun 2019 → 28 Jun 2019 |
Conference
Conference | 11th ACM Symposium on Eye Tracking Research & Applications |
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Abbreviated title | ETRA 19 |
Country/Territory | United States |
City | Denver |
Period | 25/06/19 → 28/06/19 |