Information eXperience Lab
Recent Projects
Real-time eye-tracking data processing
This project uses real-time eye-tracking to study cognitive load and visual attention. By analyzing changes in pupil size and gaze patterns, we detect moment-to-moment mental effort and shifts between broad scanning of a scene and focus attention on specific elements. This allows us to track how user engagement changes with different task demands. This can support adaptive interfaces, learning technologies, and workload monitoring.
genAI4IS: A Human-Centered Approach to Leveraging LLMs in Augmenting Information-Seeking Processes
This project examines the integration of Large Language Models (LLMs) into human information-seeking processes. It investigates how LLMs can support user intent, query refinement, and evaluation of results across successive stages of information retrieval—from initial query formulation through to the final assessment of search outcomes. LLMs offer novel methods for enhancing information search, presenting an opportunity to fundamentally reconsider established models of information seeking, with the potential to improve both the efficiency and effectiveness of information retrieval in digital environments.
