29 citations · 34 across the 6 of their papers we have counts for
6 papers
Framing Responsible Design of AI for Mental Well-Being: AI as Primary Care, Nutritional Supplement, or Yoga Instructor?
Ned Cooper, Jose A. Guridi, Angel Hsing-Chi Hwang +3
Millions of people now use non-clinical Large Language Model (LLM) tools like ChatGPT for mental well-being support. This paper investigates what it means to design such tools resp…
Facilitating Longitudinal Interaction Studies of AI Systems
Tao Long, Sitong Wang, Émilie Fabre +14
UIST researchers develop tools to address user challenges. However, user interactions with AI evolve over time through learning, adaptation, and repurposing, making one time evalua…
How Problematic Writer-AI Interactions (Rather than Problematic AI) Hinder Writers' Idea Generation
Khonzoda Umarova, Talia Wise, Zhuoer Lyu +2
Writing about a subject enriches writers' understanding of that subject. This cognitive benefit of writing -- known as constructive learning -- is essential to how students learn i…
Beyond Code Generation: LLM-supported Exploration of the Program Design Space
J. D. Zamfirescu-Pereira, Eunice Jun, Michael Terry +2
In this work, we explore explicit Large Language Model (LLM)-powered support for the iterative design of computer programs. Program design, like other design activity, is character…
GRATR: Zero-Shot Evidence Graph Retrieval-Augmented Trustworthiness Reasoning
Ying Zhu, Shengchang Li, Ziqian Kong +2
Trustworthiness reasoning aims to enable agents in multiplayer games with incomplete information to identify potential allies and adversaries, thereby enhancing decision-making. In…
Leveraging Generative AI for Clinical Evidence Summarization Needs to Ensure Trustworthiness
Gongbo Zhang, Qiao Jin, Denis Jered McInerney +11
Evidence-based medicine promises to improve the quality of healthcare by empowering medical decisions and practices with the best available evidence. The rapid growth of medical ev…