City Research Online

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.

Publication Type:	Conference or Workshop Item (Paper)
Additional Information:	© Silva, N., Blascheck, T., Jianu, R., Rodriguez, N., Raubal, M., Schreck, T. and Weiskopf, D. (2019). Eye Tracking Support for Visual Analytics Systems. In: Krejtz, K. and Sharif, B. (Eds.), ETRA '19 Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications. (11.). New York, USA: ACM. ISBN 978-1-4503-6709-7 | ACM 2019. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record is to be published by ACM, https://etra.acm.org/2019/.
Publisher Keywords:	Eye tracking, visual analytics, gaze-adaptive systems, support
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments:	School of Science & Technology > Computer Science > giCentre

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