User Modeling Challenges in Interactive AI Assistant Systems
Keywords: User Modeling, Large Language Models, Dialog System, AI Assistant
TL;DR: How can large language models understand human user' mental states, in order to offer more personalized guidance in the interactive AI assistant systems.
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.
Submission Number: 138
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