Christopher Deligianis
Papers
1
Total Citations
33
H-Index
1
About
Dr. Christopher Deligianis is a pioneering researcher at the intersection of social psychology and human-robot interaction, whose work investigates how deep-seated human biases shape our trust in autonomous systems. His landmark study, "The Impact of Intergroup Bias on Trust and Approach Behaviour Towards a Humanoid Robot" (2017), with 33 citations, demonstrated through two rigorous experiments that social identity theory—typically applied to human groups—profoundly influences whether we trust or recoil from a robot. By applying the minimal group paradigm to robotics, Deligianis revealed that people exhibit in-group favoritism and out-group distrust even toward machines, fundamentally challenging assumptions that robot acceptance is purely a matter of design or functionality. This work has become essential reading for engineers and social scientists alike, bridging a critical gap between technical development and human psychology. His contributions offer a vital framework for designing robots that can overcome intergroup bias, ensuring that as these machines become commonplace, they are met not with suspicion, but with the trust necessary for successful coexistence.
Research Focus
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Top Papers
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