Papers
7
Total Citations
148
H-Index
5
About
Baptiste Jacquet is a leading researcher at the intersection of developmental robotics, cognitive science, and human-robot interaction, with a particular focus on how robots can serve as tools for learning and social intervention. His most influential work, "Learning by Teaching with Humanoid Robot" (59 citations), pioneered the use of robots as tutees in educational settings, demonstrating that children improve their learning outcomes when teaching a humanoid robot—a paradigm that has since been widely adopted. Jacquet’s research on autism spectrum disorder (ASD) is equally groundbreaking: his 2024 paper (29 citations) shows that individuals with ASD may interact more naturally with robots than humans, offering a non-threatening platform for developing social skills. He has also made key contributions to understanding anthropomorphism, revealing in a 2023 study (28 citations) that context, not just appearance, drives our tendency to attribute human traits to robots. His work on pragmatic processing in false-belief tasks (16 citations) challenges traditional theories of theory of mind by showing that conversational context—especially with robot interlocutors—can reveal hidden competencies in young children. With over 140 total citations and a growing portfolio of studies on cognitive load and explicit anthropomorphism, Jacquet is shaping how we design robots that teach, assess, and connect with diverse populations.
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
- 5On the Lack of Pragmatic Processing in Artificial Conversational Agents9 citations · 2018
- 6The mentor-child paradigm for individuals with autism spectrum disorders5 citations · 2023
- 7Does Cognitive Load Affect Explicit Anthropomorphism?2 citations · 2024