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About

Remigiusz Szczepanowski is a pioneering researcher at the intersection of psychology and robotics, whose work is reshaping how we understand human-robot interaction (HRI) and its clinical applications. His primary research areas include social robotics, autism diagnosis, emotion recognition, and the psychological factors that influence how humans perceive and interact with machines. Szczepanowski’s most significant contribution lies in developing interdisciplinary methodologies that integrate robotics with clinical psychology. He has been at the forefront of using social robots as diagnostic tools for autism spectrum disorder in preschool children, a novel approach that addresses the limitations of traditional diagnostic methods. His work on how educational background biases the perception of social robots (26 citations) has been particularly influential, demonstrating that user attitudes and human factors are critical to successful HRI. With a combined citation count exceeding 70, his studies on the NAO robot’s ability to recognize emotions through Laban Movement Analysis and the validation of the Polish Godspeed Questionnaire have provided essential psychometric tools for the field. Szczepanowski’s research is notable for its practical impact, offering a framework for designing socially sophisticated robots that can interact with humans in emotionally and cognitively meaningful ways.