Marion Dubois-Sage
Laboratoire Cognitions Humaine et Artificielle, Université Paris 8
Papers
6
Total Citations
82
H-Index
4
About
Marion Dubois-Sage is a pioneering researcher at the intersection of human-robot interaction, developmental psychology, and autism spectrum disorders (ASD). Her work fundamentally explores how individuals—particularly children with ASD—perceive and interact with robots, challenging assumptions about anthropomorphism and social cognition. Dubois-Sage’s most influential paper (29 citations) demonstrates that people with ASD may find robots more accessible interaction partners than humans, offering transformative insights for assistive technologies. Her second major contribution (28 citations) reveals that anthropomorphism depends not just on a robot’s appearance but critically on social context, reshaping design principles for social robotics. Dubois-Sage also innovated the “mentor-child paradigm,” where robots serve as mentors for individuals with ASD, enabling more accurate assessments of socio-cognitive abilities often underestimated by traditional methods. Her work on pragmatic language processing in false-belief tasks (16 citations) further bridges robotics and developmental psychology. With over 80 total citations across her publications, Dubois-Sage is establishing herself as a leading voice in inclusive robotics, demonstrating how carefully designed human-robot interactions can unlock social potential for neurodiverse populations.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Pragmatics in the False-Belief Task: Let the Robot Ask the Question!16 citations · 2020
- 4The mentor-child paradigm for individuals with autism spectrum disorders5 citations · 2023
- 5Does Cognitive Load Affect Explicit Anthropomorphism?2 citations · 2024
- 6