Papers
12
Total Citations
202
H-Index
9
About
Jean Baratgin is a leading researcher at the intersection of cognitive psychology, human-robot interaction, and developmental robotics. Her work fundamentally explores how robots can serve as precise experimental tools to study human social cognition, decision-making biases, and developmental learning. A key contribution is her pioneering use of humanoid robots—particularly the NAO robot—as neutral experimenters to re-examine classic psychological phenomena. For instance, her studies on the "endowment effect" (14 citations) and social cue transmission (10-11 citations) demonstrate how robots can eliminate unintended social biases introduced by human experimenters, yielding cleaner data. Baratgin’s most cited work (59 citations) reviews the "learning by teaching" paradigm in educational robotics, showing how children improve learning outcomes by instructing a robot. She has also made significant strides in autism research (29 citations), arguing that individuals with Autism Spectrum Disorder may interact more naturally with robots, offering a more reliable assessment of their socio-cognitive abilities. Her 2023 study on anthropomorphism (28 citations) reveals that context, not just appearance, drives our tendency to humanize robots. With over 200 total citations and a growing portfolio of experimental methods, Baratgin is shaping how robots can advance both psychological science and inclusive educational technologies.
Research Focus
Key Achievements
Top Papers
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- 4Pragmatics in the False-Belief Task: Let the Robot Ask the Question!16 citations · 2020
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- 6NAO robot and the “endowment effect”14 citations · 2015
- 7NAO Robot, Transmitter of Social Cues: What Impacts?11 citations · 2017
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- 9On the Lack of Pragmatic Processing in Artificial Conversational Agents9 citations · 2018
- 10The mentor-child paradigm for individuals with autism spectrum disorders5 citations · 2023