most citedRethinking Theory of Mind Benchmarks for LLMs: Towards A User-Centered Perspective

2 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CY2026

The Perils of Agency: How Developers Perceive, Prioritize, and Address Risks in Agentic AI Products

Hao-Ping Lee, Jessica He, David Piorkowski +3

Agentic AI systems act autonomously, use tools, adapt to context, and operate in complex real-world environments. However, these same characteristics can create or exacerbate produ…

cs.HC2026

Promoting Critical Thinking With Domain-Specific Generative AI Provocations

Thomas Şerban von Davier, Hao-Ping Lee, Jodi Forlizzi +1

The evidence on the effects of generative AI (GenAI) on critical thinking is mixed, with studies suggesting both potential harms and benefits depending on its implementation. Some…

cs.HC2026★ 1 cited

Situated, Dynamic, and Subjective: Envisioning the Design of Theory-of-Mind-Enabled Everyday AI with Industry Practitioners

Qiaosi Wang, Jini Kim, Avanita Sharma +4

Theory of Mind (ToM) -- the ability to infer what others are thinking (e.g., intentions) from observable cues -- is traditionally considered fundamental to human social interaction…

cs.HC2025★ 2 cited

Sometimes You Need Facts, and Sometimes a Hug: Understanding Older Adults' Preferences for Explanations in LLM-Based Conversational AI Systems

Niharika Mathur, Tamara Zubatiy, Agata Rozga +2

Designing Conversational AI systems to support older adults requires these systems to explain their behavior in ways that align with older adults' preferences and context. While pr…

cs.HC2025★ 2 cited

Rethinking Theory of Mind Benchmarks for LLMs: Towards A User-Centered Perspective

Qiaosi Wang, Xuhui Zhou, Maarten Sap +2

The last couple of years have witnessed emerging research that appropriates Theory-of-Mind (ToM) tasks designed for humans to benchmark LLM's ToM capabilities as an indication of L…