Mahmoud Sharf

Papers

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About

Mahmoud Sharf is a researcher at the forefront of human-robot interaction, exploring the nuanced social dynamics that shape collaboration between people and autonomous systems. His work centers on understanding user attitudes and willingness to engage with robots, a critical factor for the successful deployment of assistive and collaborative technologies. In his highly cited 2019 study, "Who is Willing to Help Robots? A User Study on Collaboration Attitude," Sharf conducted empirical research that revealed how individual differences—such as prior experience with technology and perceptions of robot agency—influence a person's readiness to assist a robotic partner. This contribution has garnered 14 citations, establishing a foundational framework for designing more intuitive and socially acceptable robotic systems. By bridging psychology and engineering, Sharf’s research provides actionable insights for developers aiming to foster trust and cooperation in shared workspaces. His work is particularly relevant for students and researchers in human-robot interaction, cognitive science, and user experience design, offering a clear path toward more empathetic and effective human-robot teams.