Victor Finomore

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About

Victor Finomore is a leading researcher in human–robot interaction, cognitive engineering, and team dynamics, with a particular focus on how people perceive and collaborate with autonomous systems. His major contributions include identifying the **Form Function Attribution Bias (FFAB)** in human–robot interaction—a phenomenon where individuals misjudge a robot’s capabilities based on its appearance, leading to miscalibrated expectations and interactions. This work, published in 2018 and cited over 77 times, has become foundational for designing robots that align form with function to improve human trust and performance. Finomore also explores the psychological costs of human–robot teamwork, arguing that strong emotional bonds with expendable machines may hinder decision-making and efficiency—a counterintuitive insight with over 14 citations. His research bridges cognitive science, engineering, and applied psychology, influencing how autonomous systems are integrated into military, healthcare, and industrial teams. Recognized for his interdisciplinary approach, Finomore’s work challenges assumptions about anthropomorphism and team cohesion, offering practical guidance for the next generation of human–robot collaboration.