My colleagues and I had a paper accepted into the Conference on User Modeling, Adaptation, and Personalization (UMAP)! This international conference focuses on working systems that adapt to and model user information.
Funded by a $550,000 grant from the National Science Foundation, our work uses eye tracking systems to monitor students as they learn from an intelligent tutoring system. We then employ a supervised learning algorithm to detect when users are mind wandering (i.e., daydreaming). The long term goal of this work is to develop attention-aware systems that dynamically adjusts to students’ cognitive state to minimize mind wandering and maximize learning gains.
This year’s UMAP meeting will be held on July 9th-12th in Bratislava, Slovakia. The proceedings are published by the Association for Computing Machinery (ACM) and will be a part of the ACM Digital Library.