Eye Tracking Support for Visual Analytics Systems: Foundations, Current Applications, and Research Challenges
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Date
2019-06-25
Publication Type
Conference Paper
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yes
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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.
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Publication status
published
External links
Book title
ETRA '19 Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications
Journal / series
Volume
Pages / Article No.
11
Publisher
Association for Computing Machinery
Event
11th ACM Symposium on Eye Tracking Research & Applications (ETRA 2019)
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Eye tracking; visual analytics; gaze-adaptive systems; support
Organisational unit
03901 - Raubal, Martin / Raubal, Martin