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 third Workshop on Eye Tracking and Visualization (ETVIS), we intend to follow-up on the highly successful first and second ETVIS Workshops (at IEEE VIS 2015 and 2016) and continue 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.
Scope and Focus
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.
Topics
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
Organizers
 |
Michael Burch m.burch[at]tue.nl |
Eindhoven University of Technology, The Netherlands |
 |
Lewis Chuang lewis.chuang[at]tuebingen.mpg.de |
Max Planck Institute for Biological Cybernetics, Tübingen, Germany |
| Kuno Kurzhals kuno.kurzhals[at]visus.uni-stuttgart.de |
University of Stuttgart, Germany |
International Program Commitee
| Natalia Andrienko | Fraunhofer IAIS, Germany |
| Fabian Beck | University of Duisburg-Essen, Germany |
| Tanja Blascheck | Inria, France |
| Alexandra Bonnici | University of Malta, Malta |
| Stefania Cristina | University of Malta, Malta |
| Carsten Görg | University of Colorado, United States |
| Tony Huang | Swinburne University of Technology, Australia |
| Christophe Hurter | ENAC, France |
| Andrei Jalba | Eindhoven University of Technology, The Netherlands |
| Karsten Klein | University of Konstanz, Germany |
| Simone Kriglstein | Vienna University of Technology, Austria |
| Ayush Kumar | Stony Brook University New York, United States |
| Steffen Lohmann | Fraunhofer IAIS, Germany |
| Michael McGuffin | University of Montreal, Canada |
| Rudolf Netzel | University of Stuttgart, Germany |
| Thiess Pfeiffer | Bielefeld University, Germany |
| Bastian Pfleging | LMU Munich, Germany |
| Michael Raschke | Blickshift GmbH, Germany |
| Michael Sedlmair | Jacobs University Bremen, Germany |
| Tobias Schreck | Graz University of Technology, Austria |
| Huub van de Wetering | Eindhoven University of Technology, The Netherlands |
Social Media Chair
 |
Ayush Kumar aykumar[at]cs.stonybrook.edu |
Stony Brook University, New York |
Call for Papers
You are invited to submit relevant manuscripts for consideration in theThird Workshop on Eye Tracking and Visualization (ETVIS 2018)
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 |
Submission
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:
https://new.precisionconference.com/user/login?society=etra
Also ensure that the Author Guidelines (https://www.siggraph.org//learn/instructions-authors , for SIG sponsored events [sigconf]) are met prior to submission.
All accepted papers will be published by ACM as part of the ETRA proceedings.
Scope
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.
Topics
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
Organizers
| Michael Burch | Eindhoven University of Technology, Netherlands |
| Lewis Chuang | Max Planck Institute for Biological Cybernetics, Tübingen, Germany |
| Kuno Kurzhals | University of Stuttgart, Germany |
Program
| ETVIS 16.06.2018, Saturday | |
| Paper talks (12 min presentation + 3 min questions) | |
| Opening (13:30-13:50) | |
| Session I (13:50 - 14:35) | Chair: Kuno Kurzhals |
| Visualization | |
| Intuitive Visualization Technique to Support Eye Tracking Data Analysis: A User-Study | Vsevolod Peysakhovich, Christophe Hurter |
| Multiscale Scanpath Visualization and Filtering | Nils Rodrigues, Rudolf Netzel, Joachim Spalink, Daniel Weiskopf |
| The Hierarchical Flow of Eye Movements | Michael Burch |
| Break for discussion (14:35 - 14:45) | |
| Session II (14:45 - 15:30) | Chair: Lewis Chuang |
| Evaluation | |
| The Influence of Anxiety on Visual Entropy of Experienced Drivers | Gisele Gotardi, Martina Navarro, Paula Polastri, Paulo Schor Schor, Dominic Orth, Raoul Oudejans, John van der Kamp, Geert Savelsbergh, Sérgio Rodrigues |
| Eye-Tracking Evaluation of 3D Thematic Maps | Stanislav Popelka |
| Visual Analysis of Eye Gazes to Assist Strategic Planning in Computer Games | Ayush Kumar, Michael Burch, Klaus Mueller |
| Coffee break (15:30-16:00) | |
| Session III (16:00 - 17:15) | Chair: Michael Burch |
| Applications | |
| Visualizing Pilot Eye Movements for Flight Instructors | David Rudi, Peter Kiefer, Martin Raubal |
| Improving the Adaptive Event Detection Algorithm of Nyström and Holmqvist for Noisy Data | Benedict Fehringer |
| GaRSIVis: Improving the Predicting of Self-Interruption during Reading using Gaze Data | Jan Pilzer, Shareen Mahmud, Vanessa Putnam, Xinhong Liu, Tamara Munzner |
| Region of Interest Generation Algorithms for Eye Tracking Data | Wolfgang Fuhl, Thomas C Kübler, Hanna Brinkmann, Raphael Rosenberg, Wolfgang Rosenstiel, Enkelejda Kasneci |
| Panel discussion (17:15 - 17:45) | Panelists: Andrew Duchowski (Clemson University, US), Enkelejda Kasneci (University of Tübingen, DE), Peter Kiefer (ETH Zürich, CH), Thies Pfeiffer (University of Bielefeld, DE) Michael Raschke (Blickshift GmbH, DE) |
| "How can visualization make a larger contribution to ETRA?” | |
| Closing remarks & best paper (17:45-18:00) |
Important Dates
| Papers Due | January 26, 2018 |
| Feedback | February 21, 2018 |
| Rebuttals | March 4, 2018 |
| Preliminary Decision | March 26, 2018 |
| Camera Ready | April 13, 2018 |
Submission Guidelines
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:
https://new.precisionconference.com/user/login?society=etra
Also ensure that the Author Guidelines (https://www.siggraph.org//learn/instructions-authors , for SIG sponsored events [sigconf]) are met prior to submission.
All accepted papers will be published as part of the ETRA proceedings.
Information for Attendees
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Contact
Privacy Notice
1. Responsible body under data protection laws:
University of Stuttgart
Keplerstraße 7
70174 Stuttgart
Germany
Telephone: +49 711 685-0
Email: poststelle@uni-stuttgart.de
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University of Stuttgart
Data protection officer
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Tel: +49 711 685-83687
Fax: +49 711 685-83688
Email: datenschutz@uni-stuttgart.de
3. Introductory notice
This information concerning data protection / this data protection declaration relates to the web server of the University of Stuttgart (in particular www.etvis.org), which is operated by the University of Stuttgart Visualisation Research Centre.
4. Unless otherwise stated on the respective websites, personal data is gathered as follows:
4.1. Provision of the website and creation of log files
4.1.1 Description and categories of data
Should you access this or other websites, you transfer data to our web server via your browser. The following data is temporarily recorded in a log file whilst a connection is established:
IP address of the accessing computer
Date and time of the access
Name, URL and transferred data quantity of the accessed file
Access status (requested file transferred, not found etc.)
Browser type and operating system (if transferred by the requesting web browser)
Website from which the access took place (if transferred by the requesting web browser)
The processing of the data in this log file takes place as follows:
The log entries are continually automatically evaluated in order to recognize attacks against the web server and in order to be able to respond accordingly.
In individual cases, i.e. in case of reported disruptions, errors and security breaches, a manual analysis takes place.
In addition, when accessing websites, the date and time stamp, IP address + port (source), IP address + port (target) and the package size are recorded in the active network components of the University of Stuttgart.
4.1.2 Purpose
The temporary storage of the IP address by the system is necessary in order to deliver the website to the computer of the user. For this purpose, the IP address of the user must remain saved for the duration of the session.
Saving in a log file takes place in order to ensure the functional capability of the website. In addition, the data enables us to optimize the website and to ensure the security of our IT systems. IP addresses contained in the log entries are not combined with other data inventories, unless there are concrete indicators of a disruption to the correct operation.
The recording of active network components also enables us to ensure the security of the IT systems.
These purposes also represent our legitimate interest in the data processing in accordance with Article 6 Paragraph 1 Letter f) GDPR.
4.1.3 Legal basis
The legal basis for the temporary storage of the data and log files is Article 6 Paragraph 1 Letter f) GDPR.
4.1.4 Recipients
Should criminal investigations be initiated due to attacks against our IT systems, the data named under 4.1.1 and log files can be passed on to state investigative bodies (for example the police, criminal prosecution authorities).
The same applies if relevant authorities and/or courts make inquiries of the University and we are obliged to respond to these.
4.1.5 Storage duration
The data will be deleted once it is no longer necessary for the purpose for which it was gathered. In case of the recording of data for provision of the website, this is the case when the respective session has come to an end.
The storage of the data in log files is anonymized after seven days. This takes place by means of shortening the IP addresses.
4.1.6 Consequences of non-provision, right of objection and correction
The recording of data for provision of the website and the storage of data in log files is absolutely necessary in order to operate the website. Users who do not wish for their data to be processed as described can contact the University via alternative channels (by telephone, in written form, in person) in order to receive corresponding information or carry out actions.
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You have the right to receive information from the university concerning the data saved in relation to your person and/or to have incorrectly saved data corrected.
In addition, you have the right to deletion or to have the processing restricted or to object to the processing.
For this purpose, please contact the data protection officer of the University of Stuttgart:
datenschutz@uni-stuttgart.de
You have the right to complain to the supervisory authority, should you be of the opinion that the processing of the personal data relating to you breaches legal regulations.
The competent supervisory authority is the State Data Protection and Freedom of Information Officer of Baden-Württemberg - Landesbeauftragte für den Datenschutz und die Informationsfreiheit Baden-Württemberg