Eye Tracking Support for Visual Analytics Systems: Foundations, Current Applications, and Research Challenges

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.
Complete list of metadatas

Cited literature [67 references]  Display  Hide  Download

https://hal.inria.fr/hal-02084137
Contributor : Tanja Blascheck <>
Submitted on : Friday, March 29, 2019 - 2:15:39 PM
Last modification on : Sunday, March 31, 2019 - 1:44:49 AM
Long-term archiving on: Sunday, June 30, 2019 - 2:44:39 PM

File

Silva_2019_Eye Tracking Suppor...
Files produced by the author(s)

Identifiers

Collections

Citation

Nelson Silva, Tanja Blascheck, Radu Jianu, Nils Rodrigues, Daniel Weiskopf, et al.. Eye Tracking Support for Visual Analytics Systems: Foundations, Current Applications, and Research Challenges. ETRA 2019 - Symposium on Eye Tracking Research and Applications, Jun 2019, Denver, United States. ⟨10.1145/3314111.3319919⟩. ⟨hal-02084137⟩

Share

Metrics

Record views

160

Files downloads

349