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cs.HC2026
Bringing Everyone to the Table: An Experimental Study of LLM-Facilitated Group Decision Making
Mohammed Alsobay, David M. Rothschild, Jake M. Hofman +1
Group decision-making often suffers from uneven information sharing, hindering decision quality. While large language models (LLMs) have been widely studied as aids for individuals…
cs.HC2026
Prompt Adaptation as a Dynamic Complement in Generative AI Systems
Eaman Jahani, Benjamin S. Manning, Joe Zhang +5
As generative AI systems rapidly improve, a key question emerges: how do users adapt to these changes, and when does such adaptation matter for realizing performance gains? Drawing…