Alexandru Litoiu

Yale University

Papers

7

Total Citations

244

H-Index

5

About

Alexandru Litoiu’s research sits at the intersection of human-robot interaction, child development, and education, with a focus on designing socially assistive robots that teach, coach, and engage. His most influential work, “How to train your DragonBot” (124 citations), demonstrates how a social robot can sustain children’s enjoyment and learning over multiple sessions, using playful interaction to teach nutrition to a diverse group of first-graders. Litoiu also made a striking contribution to our understanding of human perception of robots: his co-authored study “Evidence that Robots Trigger a Cheating Detector in Humans” (43 citations) shows that people attribute greater agency and intentionality to a robot that cheats, revealing deep-seated social-cognitive responses to machine behavior. In tutoring contexts, he investigated how robots can shape productive help-seeking behavior in children, addressing a classic problem in intelligent tutoring systems where students either overuse or avoid help. Beyond symbolic learning, Litoiu explored robotic coaching of complex physical skills—from swinging a bat to rehabilitation—arguing that robots are uniquely suited to observe, diagnose, and personalize instruction of motor tasks. His work is notable for bridging developmental psychology, machine learning, and robotics, with a clear commitment to creating robots that are not just functional, but socially intelligent partners in learning.

Research Focus

Key Achievements

5
H-Index
7
Papers
244
Total Citations
35
Avg Citations/Paper
🏆 Most Cited Paper
How to train your DragonBot: Socially assistive robots for teaching children about nutrition through play
124 citations · 2014
📈 Most Prolific Year: 2014 (3 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: Yale University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago