Welcome to the Workshop on Eye Tracking and Visualization!

There is a growing interest in eye tracking as a research method in many communities, including information visualization, scientific visualization, visual analytics, but also in human-computer interaction, applied perception, psychology, cognitive science, security, and mixed reality. Progress in hardware technology and the reduction of costs for eye tracking devices have made this analysis technique accessible to a large population of researchers. Recording the observer's gaze can reveal how dynamic graphical displays are visually accessed and which information are processed in real time. Nonetheless, standardized practices for technical implementations and data interpretation remain unresolved. With this Workshop on Eye Tracking and Visualization (ETVIS), we intend to build a community of eye tracking researchers within the visualization community, covering information visualization, scientific visualization, and visual analytics. We also aim to establish connections to related fields, in particular, in human-computer interaction, cognitive science, and psychology. This will promote a robust exchange of established practices and innovative use scenarios.

ETVIS Call for Papers:

Special Issue on Eye Tracking and Visualization

Journal of Eye Movement Research (JEMR)

Deadline Extension: May 31, 2017

Submission Deadline: May 15, 2017

First Round Decisions: June 15, 2017

Online Publication: upon acceptance


The intuitive appeal of eye tracking as a measurement tool can be found in its apparent ease of interpretation. Even to this day, many believe that a simple overlaid visualization of observers’ fixations on the image itself (cf., Yarbus, 1967; or fixation density heatmaps) can reveal the observers’ intentions when looking at the image. However, experienced researchers know that a “what-you-see-is-what-you-get” approach to raw eye-tracking data visualization grossly simplifies visual behavior and cognition. It also restricts the dimensional complexity of eye-movement data and stimuli, which poses the risk of obscuring meaningful relationships between the two. Effective visualization and analytics of eye-tracking data can serve to better our understanding of visual behavior. For example, Dolezalova and Popelka (2016; http://dx.doi.org/10.16910/jemr.9.4.5) demonstrated how the visualization of graph cliques can allow for the comparison of scanpaths with different lengths. In another example, the properties of data visualizations (e.g., Recurrence plots) can serve as a novel metric for describing eye-movement behavior (Farnand, Vaidyanathan, Pelz, 2016; http://dx.doi.org/10.16910/jemr.9.4.1). Also, novel interactive tools and their graphical user interfaces can facilitate the exploration of eye-tracking data (Di Nocera, Capobianco, Mastrangelo, 2016; http://dx.doi.org/10.16910/jemr.9.4.3). Last but not least, eye tracking can itself be used to evaluate the ease-of-use of novel visualizations themselves (Strobel, Saß, Lindner, Köller, 2016; http://dx.doi.org/10.16910/jemr.9.4.4).

The Special Issue for Eye Tracking and Visualization follows on the success of the workshops for Eye Tracking and Visualization (www.etvis.org) to welcome relevant contributions across the various areas of eye-movement behavior, data visualization, visual analytics, human-computer interactions, and others. The goal is to communicate the vital role of visualization in understanding eye-tracking data as well as how eye tracking can be used to improve visualization research.


Manuscripts are solicited on the following topics with an emphasis on the relationship between eye tracking and visualization, including but not limited to the following:
•        Visualization and visual analytics techniques for eye-movement data (inc. spatio-temporal visualization, evolution of gaze patterns,            visual analysis of individual behavior, 2D vs. 3D representations of eye-movement data)
•         Visual analytics of gaze behavior (inc. visual data mining, aggregation, clustering techniques, and metrics for eye-movement data)
•         Eye-movement data provenance
•         Standardized metrics for evaluating gaze interactions with visualization
•         Cognitive models for gaze interactions with visualizations
•         Novel methods for eye tracking in challenging visualization scenarios
•         Uncertainty visualization of gaze data
•         Interactive annotation of gaze and stimulus data
•         Systems for the visual exploration of eye-movement data
•         Eye-tracking studies that evaluate visualization or visual analytics
•         Eye tracking in non-WIMP visualization environments, including mobile eye tracking, mobile devices, virtual environments, mixed                reality, and large displays
•         Visualization applications that rely on eye tracking as an input parameter


Papers should be submitted electronically to the Special Issue at the following link:

Please select “SI:ETVIS” as the Article Type to ensure your manuscript be correctly assigned. Also ensure that the Author Guidelines are met prior to submission.

Potential authors are welcomed to contact the editors directly, with a short description of the planned paper, to receive feedback on its suitability for the special issue.


●     Lewis Chuang, MPI Biological Cybernetics Tuebingen, lewis.chuang[at]tuebingen.mpg.de
●     Michael Burch, Stuttgart University, Michael.Burch
●     Andrew Duchowski, Clemson University, aduchow
●     Daniel Weiskopf, Stuttgart University, Daniel.Weiskopf