4 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.CL2026
Item-Mean Surrogates: Why Richer Persona Data Fail to Improve LLMs as Human Surrogates
Daehwan Ahn, Chengfeng Mao, Dokyun Lee
LLMs are increasingly used as human surrogates, often on the premise that richer persona data could make them substitutes or exploratory tools for specific individuals. We test thi…
cs.HC2025★ 4 cited
Designing Human and Generative AI Collaboration
Kartik Hosanagar, Daehwan Ahn
We examined the effectiveness of various human-AI collaboration designs on creative work. Through a human subjects experiment set in the context of creative writing, we found that…
cs.AI2021★ 4 cited
Will We Trust What We Don't Understand? Impact of Model Interpretability and Outcome Feedback on Trust in AI
Daehwan Ahn, Abdullah Almaatouq, Monisha Gulabani +1
Despite AI's superhuman performance in a variety of domains, humans are often unwilling to adopt AI systems. The lack of interpretability inherent in many modern AI techniques is b…