Guo Freeman

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About

Dr. Guo Freeman is a leading researcher at the intersection of human-computer interaction, artificial intelligence, and computer-supported cooperative work. Her work fundamentally explores how humans collaborate with AI systems, with a particular focus on the social and psychological dynamics of human-agent teaming. In her highly influential 2023 study, "Understanding the impact and design of AI teammate etiquette," Dr. Freeman demonstrated that the integration of interaction rules and structures—or etiquette—into AI teammates is critical for building trust and improving team performance. This work, which has already garnered 20 citations, provides both theoretical insights and practical design guidelines for creating more effective and socially intelligent AI collaborators. Beyond this, Dr. Freeman’s research consistently examines the nuanced ways in which people perceive, trust, and interact with AI, shaping the future of human-AI partnerships in domains ranging from gaming to professional teamwork. Her contributions are essential for anyone designing or studying the next generation of collaborative AI systems.