Eye-tracking can provide real-time insight into the short and long term data preferences and interests of people using visual data analysis systems. These systems could leverage such information to adapt intelligently in real time, and show data in ways that better support users’ goals and tasks. This project aims to explore principles of gaze-adaptive visual support in real applications.
- Design and implement concrete gaze-adaptive interactive responses in established data visualizations or data-analytic systems.
- Conduct user studies to test the effectiveness of such designs
User study design
Human factors (e.g., vision, cognition, task analysis)
- Iterative software design and development, rapid prototyping