I. Dziobek

Papers

Total Citations

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About

Isabella Dziobek is a leading researcher in social cognition, autism spectrum conditions (ASC), and human-robot interaction. Her work bridges clinical psychology and robotics, focusing on how technology can support socio-emotional development in individuals with autism. A key contribution is her exploration of using humanoid robots, such as Pepper, as tutors for children with ASC, helping them recognize and convey emotions through multimodal sensing. Her 2021 paper on optical pulse detection for the Pepper robot (10 citations) exemplifies this applied approach, integrating physiological signals to enhance interactive interventions. Dziobek’s research has significantly advanced understanding of empathy, mentalizing, and emotional processing in autism, with her broader body of work accumulating hundreds of citations. She is also known for developing innovative experimental paradigms, like the "EmpaToM" task, which dissects empathy and theory of mind. Her interdisciplinary efforts have shaped both theoretical frameworks and practical tools for autism care, making her a pivotal figure in translating cognitive science into real-world assistive technologies.