Ohad Inbar

Papers

Total Citations

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About

Ohad Inbar is a researcher specializing in human-robot interaction, with a particular focus on how social dynamics, trust, and behavioral norms shape the way people engage with autonomous systems in public spaces. His work explores the psychological and social dimensions of robot deployment, examining how factors such as politeness, perceived authority, and demographic characteristics influence human willingness to cooperate with robotic systems. Inbar's most cited work, "Politeness Counts: Perceptions of Peacekeeping Robots" (2019, 41 citations), demonstrates that intuitive trust is a critical determinant of human compliance with robots encountered in public settings, using controlled experimental scenarios to unpack this complex relationship. His earlier paper, "Manners Matter" (2015, 16 citations), laid important groundwork by investigating how robots performing access-control tasks are perceived differently depending on the social context of their interactions. Together, these contributions offer valuable insights for designers and policymakers working to deploy robots in sensitive public environments. Inbar's research bridges cognitive psychology, security, and robotics, making his findings especially relevant for students and practitioners interested in the ethical and practical challenges of integrating autonomous systems into everyday human society.