About

James E. Young is a prominent human-robot interaction (HRI) researcher whose work sits at the intersection of social psychology, affective computing, and robot design. His influential 2008 paper applying social psychology insights to domestic robots (261 citations) and his 2010 framework for evaluating HRI (231 citations) have become foundational references for researchers designing socially acceptable robots. Young has made significant contributions to understanding how people emotionally and psychologically respond to robots — exploring whether users feel empathy for simulated robots, how they build rapport with collaborative machines, and fascinatingly, whether they will obey robotic authority figures. His investigations into affective locomotion, drawing on the Laban Effort System to communicate emotion through robot movement, opened creative new pathways for expressive robot design. His early work on "robot expressionism through cartooning" demonstrated an innovative approach to intuitive human-robot communication using simplified visual cues. With practical contributions ranging from dog-leash robot interfaces to industrial collaborative robot behavior, Young's research bridges theoretical social science and real-world robotics design. His body of work, accumulating nearly 1,000 citations, makes him an essential voice in making robots genuinely comprehensible, trustworthy, and socially integrated into human environments.

Research Focus

Key Achievements

22
H-Index
76
Papers
1,828
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Toward Acceptable Domestic Robots: Applying Insights from Social Psychology
261 citations · 2008
📈 Most Prolific Year: 2020 (10 Papers)
🤝 Key Collaborators: 80
🏛 Institutions: University of Calgary, The University of Tokyo, University of Manitoba, The University of Texas at Dallas

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 0 days ago