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ETVIS 2018 : Third Workshop on Eye Tracking and Visualization


When Jun 14, 2018 - Jun 17, 2018
Where Warsaw, Poland
Submission Deadline TBD

Call For Papers

June 14-17, 2018, Warsaw, Poland. For the first time in conjunction with the Symposium on Eye Tracking Research and Applications (ETRA).

Important Dates
Papers Due January 26, 2018
Feedback February 25, 2018
Rebuttals March 4, 2018
Preliminary Decision March 26, 2018
Camera Ready April 13, 2018
Authors are invited to submit original work complying with the ETRA NOTES format (up to 4 pages + 2 pages references).
Papers should be submitted electronically in PDF format to ETVIS over the ETRA submission system:

Also ensure that the Author Guidelines ( , for SIG sponsored events [sigconf]) are met prior to submission.

All accepted papers will be published by ACM as part of the ETRA proceedings.

Technological advances in computer vision algorithms and sensor hardware have greatly reduced the implementational and financial costs of eye tracking. Thus, it is unsurprising to witness a significant increase in its use as a research tool in fields beyond the traditional domains of biological vision, psychology, and neuroscience, in particular, in visualization and human-computer interaction research. One of the key challenges lies in the analysis, interaction, and visualization of complex spatio-temporal datasets of gaze behavior, which is further complicated by complementary datasets such as semantic labels, user interactions and/or accompanying physiological sensor recordings. Ultimately, the research objective is to allow eye tracking data to be effectively interpreted in terms of the observer’s decision-making and cognitive processes. To achieve this, it is necessary to draw upon our current understanding of gaze-behavior across various and related fields, from vision and cognition to visualization.

The technical and financial aspects of recording of eye movement data are not a big issue anymore—with low-cost eye tracking devices being widely available. We have seen a large increase in research and papers related to eye tracking. However, the analysis, interaction, and visualization of such gaze data—along with additionally attached data from the stimulus or further physiological sensor recordings—becomes a challenging factor in this emerging discipline. Also, from the human-computer interaction and the cognitive science perspective, many aspects have to be focused on integrating the human behavior and the decision-making and thinking processes. All together make eye tracking an important field to be understood, be it in the sense of data analysis and visualization, interaction, or user-based evaluation of visualization.

This workshop will cover topics that are related to visualization research (including information visualization, scientific visualization, and visual analytics) and eye tracking. Aspects discussed in this workshop include the following topics with an emphasis on the relationship between eye tracking and visualization:

Visualization and visual analytics techniques for eye movement data
Visual gaze and eye movement data analysis, including visual data mining, aggregation, clustering techniques, and metrics for eye movement data
Eye movement data provenance, big eye movement data
Uncertainty visualization of gaze data
Standardized metrics for evaluating interactions with visualization
Novel methods for eye-tracking in challenging visualization scenarios
Interactive annotation of gaze and stimulus data
Systems for visual exploration of eye movement data
Reports of eye tracking studies evaluating visualization or visual analytics
Eye tracking in non-WIMP visualization environments, including mobile eye tracking, mobile devices, virtual environments, mixed reality, and large displays
Eye tracking-based interaction techniques for visualization
Interpreting eye movement scanpaths from the perspective of human cognitive architecture and perceptuo-motor expertise
Perception in eye tracking studies
Inferences that can be drawn from gaze behavior
Cognitive models for inferring user states from gaze behavior with visualizations
Applications that rely on eye-tracking as an adaptive input parameter
Michael Burch Eindhoven University of Technology, Netherlands
Lewis Chuang Max Planck Institute for Biological Cybernetics, Tübingen, Germany
Kuno Kurzhals University of Stuttgart, Germany

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