Qiaosi Wang

Papers

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About

Qiaosi Wang is a leading voice in the emerging field of human-AI interaction, with a particular focus on how humans perceive, trust, and collaborate with intelligent systems. Her most-cited work, "Theory of Mind in Human-AI Interaction" (2024), has already garnered 16 citations, reflecting its timely and foundational impact. In this paper, Wang explores how humans’ innate ability to attribute mental states—such as intentions, goals, emotions, and beliefs—shapes their interactions with AI agents. By bridging cognitive science and AI design, she provides a framework for understanding why users treat AI as social actors and how this influences trust, communication, and collaboration. Wang’s research is pivotal for designing more intuitive and empathetic AI systems, particularly in contexts where human-AI teamwork is critical. Her work has been recognized for its interdisciplinary rigor and practical implications, positioning her as a rising scholar at the intersection of cognitive science, human-computer interaction, and AI ethics. For students and researchers, Wang’s contributions offer a vital lens for understanding the psychological underpinnings of human-AI relationships.