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.
%0 Conference Paper
%1 conf/etra/SilvaBJRWRS19
%A Silva, Nelson
%A Blascheck, Tanja
%A Jianu, Radu
%A Rodrigues, Nils
%A Weiskopf, Daniel
%A Raubal, Martin
%A Schreck, Tobias
%B Proceedings of the Symposium on Eye Tracking Research & Applications (ETRA)
%D 2019
%E Krejtz, Krzysztof
%E Sharif, Bonita
%I ACM
%K 2019 B01 sfbtrr161 visus:blaschta visus:rodrigns visus:weiskopf
%P 11:1-11:9
%R 10.1145/3314111.3319919
%T Eye Tracking Support for Visual Analytics Systems: Foundations, Current Applications, and Research Challenges
%U https://doi.org/10.1145/3314111.3319919
%X 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.
%@ 978-1-4503-6709-7
@inproceedings{conf/etra/SilvaBJRWRS19,
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.},
added-at = {2020-06-26T13:19:50.000+0200},
author = {Silva, Nelson and Blascheck, Tanja and Jianu, Radu and Rodrigues, Nils and Weiskopf, Daniel and Raubal, Martin and Schreck, Tobias},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/23357d6352d2eb7cd11d4d83b3f93230f/leonkokkoliadis},
booktitle = {Proceedings of the Symposium on Eye Tracking Research & Applications (ETRA)},
crossref = {conf/etra/2019},
doi = {10.1145/3314111.3319919},
editor = {Krejtz, Krzysztof and Sharif, Bonita},
ee = {https://doi.org/10.1145/3314111.3319919},
interhash = {cdd504e503c23a2acc2f87e39ddc68a0},
intrahash = {3357d6352d2eb7cd11d4d83b3f93230f},
isbn = {978-1-4503-6709-7},
keywords = {2019 B01 sfbtrr161 visus:blaschta visus:rodrigns visus:weiskopf},
pages = {11:1-11:9},
publisher = {ACM},
timestamp = {2020-06-26T11:19:50.000+0200},
title = {Eye Tracking Support for Visual Analytics Systems: Foundations, Current Applications, and Research Challenges},
url = {https://doi.org/10.1145/3314111.3319919},
year = 2019
}