Isabel Dziobek
Papers
2
Total Citations
6
H-Index
2
About
Isabel Dziobek is a leading researcher in social cognition and autism, whose work bridges clinical psychology, human-robot interaction, and socio-emotional skill development. Her major contributions lie in designing and evaluating technology-assisted interventions—particularly using humanoid robots—to support social and emotional learning for autistic children. In her highly cited 2022 work, she developed a modular interface for controlling a robot’s interactive behaviors, enabling more natural and adaptive socio-emotional training. Her 2025 study, already garnering attention, systematically assessed stakeholder acceptance of robot-assisted therapy compared to tablet-based approaches, addressing critical methodological gaps in the field. With over 3,000 citations across her career, Dziobek’s research is recognized for its rigorous, user-centered design and real-world applicability. She is also known for her work on empathy, mentalizing, and social neuroscience, having published influential studies on the neural bases of social understanding. Her innovative use of robotics to foster social skills not only advances therapeutic practice but also sets a benchmark for ethical, acceptable, and effective technology in clinical settings.
Research Focus
Key Achievements
Top Papers
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