With eye tracking becoming pervasive, researchers face fundamental new challenges regarding privacy and ethics. However, these critical topics have only received little attention in the eye tracking community so far. An active discussion about ethical and social implications as well as issues of data privacy is important for the further development of pervasive eye tracking technology and its acceptance in society.
With a highly successful first event (more than 40 participants) held in conjunction with ETRA 2021, this workshop has established itself as the premier forum for these discussions. Building on the outcomes from last year, we now aim to actively engage researchers and practitioners and help them to start implementing privacy-aware pervasive eye tracking systems.
This workshop brings together researchers and practitioners from
- eye tracking,
- (usable) privacy,
- human-computer interaction,
- psychology
- and other eye tracking-related research fields,
- and industry.
... to discuss a range of topics including, but not limited to
- Studies on privacy-sensitive information that can be extracted from the eyes
- Empirical analyses of privacy risks for eye tracking users and bystanders
- Analyses of privacy risks from eyes in combination with other modalities and/or body-worn sensors
- Computational methods for privacy-preserving gaze data analysis
- Hardware solutions for privacy-aware and ethical eye tracking
- Ethical considerations on the usage of gaze data for research, in medical devices, in commercial products etc.
- User studies on the awareness of privacy and ethical issues arising from the usage of pervasive eye tracking
Speakers
to be announcedProgram (Seattle time, PDT)
| 09:45 – 10:00 | Welcome |
| 10:00 – 10:30 | Expert presentations: Introduction to privacy, ethical, and legal aspects of pervasive eye tracking (10 min each) |
| 10:30 – 11:10 | Breakout groups 1: Selection of eye tracking applications and use cases |
| 11:10 – 11:45 | Expert presentations: Key privacy, ethical, and legal dimensions |
| 11:45 – 12:15 | Lunch |
| 12:15 – 12:55 | Breakout groups 2: Discussion of dimensions for selected applications |
| 12:55 – 13:15 | Expert presentations: Possible solutions to privacy, ethical, and legal issues |
| 13:15 – 13:55 | Breakout groups 3: Development of solutions for selected applications |
| 13:55 – 14:15 | Summary discussion and closing |
Organizers
Inken Hagestedt - CISPA Helmholtz Center for Information Security, Germany
Inken Hagestedt is a final-year PhD student at the CISPA Helmholtz Center for Information Security. She is interested in privacy-preserving computation and sharing of biomedical data including epigenetic and eye tracking data.
Michael Raschke - Blickshift GmbH, Germany
Michael Raschke is Co-Founder and managing director of
Blickshift GmbH and an expert for a visualization-based eye movement
analysis. Since 2009 he has been working on new methods and techniques
for the analysis of perceptual and cognitive processes at the Institute
for Visualization and Interactive Systems at the University of
Stuttgart. In 2016 he founded Blickshift GmbH together with two of his
former colleagues from the institute to transfer research results in eye
tracking analysis into commercial products.
Céline Gressel - University of Tuebingen, Germany
Céline Gressel studied sociology, psychology and education in
Tübingen. Simultaneously, in 2011 she started to work at the IZEW. From
March 2016 she worked as a research assistant in INTEGRAM. In December
2018 she started her new project HIVE-Lab whereshe works on the
Sociology of technology, Qualitative methods of empirical social
research, in particular Grounded Theory, Ethics in the sciences and
humanities an especially on the Integration of social, ethical an legal
aspects into technology development.
Rebekah Overdorf - EPFL, Switzerland
Rebekah Overdorf is a computer scientist and a postdoctoral researcher at EPFL in Switzerland where she studies the effects that machine learning can have on privacy and the ways in which machine learning can be used to attack private systems and infer private information. Her research revolves around the negative impacts of technical optimization systems on the users,
non-users, and on the environments in which they are deployed.
Andreas Bulling - University of Stuttgart, Germany
Andreas Bulling is Full Professor of Human-Computer Interaction
and Cognitive Systems at the University of Stuttgart. His research interests are in novel computational
methods and systems to sense, model, and analyze everyday non-verbal
human behavior, specifically gaze. He was one of the organisers and
panelist of the privacy in eye tracking panel at ACM ETRA 2019. He
received his PhD in Information Technology and Electrical Engineering
from ETH Zurich and his MSc in Computer Science from the Karlsruhe
Institute of Technology.