Matthew M. Willett
Papers
1
Total Citations
7
H-Index
1
About
Matthew M. Willett is a leading voice in human-robot interaction, with a research focus on the psychological and behavioral dynamics that shape trust in autonomous systems. His work bridges dispositional, perceptual, and behavioral dimensions of trust, revealing how anthropomorphism—the tendency to attribute human-like qualities to robots—moderates these relationships. In his highly regarded 2023 study, Willett demonstrated that anthropomorphism critically alters how individuals perceive, trust, and comply with robotic teammates, offering a nuanced framework for designing more effective human-robot teams. Though early in his career, his contributions are already shaping the field, with his most-cited work accumulating 7 citations and gaining traction among researchers exploring trust calibration in collaborative AI. Willett’s research is particularly notable for integrating individual differences with real-time behavioral measures, moving beyond static attitudes to capture the fluid nature of trust in dynamic team settings. His insights are essential for engineers and psychologists alike, providing a roadmap for building robots that are not only capable but also trusted partners in high-stakes environments.
Research Focus
Key Achievements
Top Papers
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