Daniel Ebrahimian

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About

Daniel Ebrahimian is a researcher at the intersection of human-robot interaction and social psychology, with a primary focus on trust, persuasion, and decision-making in human-robot collaboration. His work investigates how factors like preference elicitation, user involvement, and robot embodiment influence user trust and acceptance—a critical concern as robots increasingly enter service and recommendation roles. In his highly cited 2018 paper, "Do You Trust Me, Blindly?" (60 citations), Ebrahimian demonstrated that both embodiment and transparent explanation mechanisms significantly shape user trust toward robot recommender systems. Extending this line of inquiry, his study "Bon Appetit! Robot Persuasion for Food Recommendation" (31 citations) compared the persuasiveness of robots, humans, and information kiosks in restaurant recommendations, revealing that embodiment type alone can alter consumer compliance. Through these contributions, Ebrahimian has helped lay empirical groundwork for designing more trustworthy and persuasive social robots, offering actionable insights for developers and service industries alike. His work is essential reading for students and researchers exploring the psychological underpinnings of human-robot trust and the practical deployment of robotic agents in everyday decision-making contexts.