Daniel Hannon
Papers
5
Total Citations
100
H-Index
3
About
Daniel Hannon is a pioneering researcher at the intersection of robotics, psychology, and neurodevelopmental disorders. His key research areas include robopsychology—the study of human-robot interaction from a psychological perspective—and the use of robotic platforms for therapeutic and educational interventions. Hannon’s major contributions center on demonstrating how robots can support children with severe Autism Spectrum Disorder (ASD), as evidenced by his highly cited pilot study on the KIBO robot (85 citations). He has also advanced the theoretical framework of robopsychology, arguing in a 2022 paper that the field is “ripe” for systematic study as robots increasingly enter therapeutic and social domains. His bibliometric analysis (2023) further mapped the landscape of robot research in neurodevelopmental contexts, making a compelling case for formalizing robopsychology as a discipline. Notably, Hannon developed the Collaborative Online Robotics Platform (CORP), an innovative tool designed to address engagement and social-emotional challenges in remote learning environments. With work spanning from pilot interventions to theoretical foundations and practical platforms, Hannon is shaping how robots can be ethically and effectively integrated into psychological and educational practice.
Research Focus
Key Achievements
Top Papers
- 1A Pilot Study of the KIBO Robot in Children with Severe ASD85 citations · 2018
- 2The time is ripe for robopsychology7 citations · 2022
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- 5CORP. A Collaborative Online Robotics Platform2 citations · 2021