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About

Peter A. Hancock is a distinguished researcher whose career has fundamentally shaped our understanding of trust in human-machine interaction. Specializing in human factors psychology, human-robot interaction (HRI), and the emerging frontiers of artificial intelligence and autonomous systems, Hancock has produced a body of work that bridges cognitive science, engineering, and behavioral research. His most celebrated contribution is a landmark 2011 meta-analysis on factors affecting trust in HRI, which has accumulated an extraordinary 1,914 citations and provided the first rigorous quantitative foundation for a field previously limited to qualitative review. Building on this foundation, Hancock extended his meta-analytic approach to automation broadly (707 citations) and artificial intelligence specifically (330 citations), establishing a trilogy of influential works that trace trust dynamics across evolving technological landscapes. His sequential meta-analyses on robot trust further demonstrate a commitment to refining and updating empirical understanding as the field matures. Beyond statistical synthesis, Hancock has contributed theoretical frameworks, including formal models of human-robot trust and explorations of personality factors in autonomous systems. His work consistently emphasizes trust not as a peripheral concern but as the critical determinant of whether humans and machines can function effectively as teams. With thousands of cumulative citations, Hancock's scholarship remains essential reading for anyone studying human-centered design, robotics, or AI ethics.