Dr. Jiqun Liu and LIS Ph.D. student Ben Wang, present current research findings and receive additional funding to continue research.
SLIS Faculty, Dr. Jiqun Liu, and SLIS Ph.D. student Ben Wang, attended the Task-focused Generative AI workshop co-organized by Microsoft and the Univniversity of Washington at Microsoft Redmond/Seattle Campus and presented their on-going work at the 2023 ASIS&T Annual Meeting.
They presented the early work from their group on developing and enhancing task supportive and personalized human-Generative AI interaction to researchers from both academia and Microsoft Research teams. This work increased the visibility of SLIS' research in human-AI interaction community and was supported by Dr. Liu's NSF award on bias-aware user modeling and computing resources/credits from Microsoft for Startups Founders Hub.
Dr. Liu and Ben also presented their on-going work and findings on this topic at University College London Computer Science department before ASIS&T 2023 Annual Meeting in late October. Their full research paper entitled “characterizing and early predicting user performance for adaptive search path recommendation” (Authors: Ben Wang & Jiqun Liu) received SIG USE Best Information Behavior Conference Paper Award from ASIS&T 2023.
Dr. Liu’s Generative AI project titled “Identifying and mitigating cognitive biases in generative-AI-assisted online learning” received funding support from the OUVPRP’s Bridge Funding Investment Program (BFIP). This BFIP funding will allow his research group to continue their projects on characterizing human biases in human-AI interaction and evaluating tools and algorithms that can help mitigate bias impacts and promote fair information access.
