User Modeling Challenges in Interactive AI Assistant Systems

arXiv:2403.20134v1 Announce Type: new
Abstract: Interactive Artificial Intelligent(AI) assistant systems are designed to offer timely guidance to help human users to complete a variety tasks. One of the remaining challenges is to understand user's mental states during the task for more personalized guidance. In this work, we analyze users' mental states during task executions and investigate the capabilities and challenges for large language models to interpret user profiles for more personalized user guidance.

abstract ai assistant analyze artificial arxiv assistant challenges cs.cl guidance human intelligent interactive modeling personalized systems tasks type work