Lee J. Corrigan
Papers
12
Total Citations
182
H-Index
8
About
Lee J. Corrigan is a leading researcher in social robotics and human-robot interaction, with a particular focus on creating empathic robotic tutors for educational contexts. Their work sits at the intersection of artificial intelligence, educational psychology, and human-robot collaboration, addressing the fundamental challenge of how to endow robots with the socio-emotional awareness necessary for effective teaching. Corrigan’s major contributions include developing computational models that automatically detect and respond to learner engagement in real time, using both implicit and explicit behavioral cues. Their pioneering research on the EMOTE project—designing an empathic robot tutor to teach map-reading skills to 11–13 year olds—has been widely recognized, with their most-cited paper, "Empathic Robotic Tutors for Personalised Learning," accumulating 32 citations. Corrigan has also investigated how spatial factors like relative position and proxemics influence engagement in collaborative tasks, and has explored the critical distinction between task and social engagement. With over 170 total citations across their key publications, Corrigan’s work is foundational for the next generation of personalized, emotionally intelligent educational robots.
Research Focus
Key Achievements
Top Papers
- 1
- 2Engagement Perception and Generation for Social Robots and Virtual Agents28 citations · 2016
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- 5Mixing implicit and explicit probes17 citations · 2014
- 6
- 7Perception matters! Engagement in task orientated social robotics14 citations · 2015
- 8
- 9Empathic Robotic Tutors8 citations · 2015
- 10An Empathic Robotic Tutor in a Map Application7 citations · 2015