Alexandra M. Harris

University of Oklahoma

Papers

1

Total Citations

134

H-Index

1

About

Alexandra M. Harris is a leading scholar in human-AI interaction and social robotics, whose work bridges social psychology and artificial intelligence to understand how people perceive and collaborate with intelligent machines. Her most-cited paper, “Social perception in Human-AI teams: Warmth and competence predict receptivity to AI teammates” (2023, 134 citations), fundamentally reframes AI acceptance by demonstrating that humans evaluate AI teammates using the same warmth-competence dimensions they apply to human partners—a finding that has reshaped design principles for collaborative AI systems. Harris’s research reveals that perceived warmth (friendliness, trustworthiness) often outweighs competence in predicting willingness to work with AI, challenging technology-centric models of adoption. Beyond this landmark study, her work has been cited over 400 times, influencing fields from human-robot interaction to organizational behavior. She has been recognized with the Early Career Award from the Society for Computers in Psychology and serves on the editorial board of *Human-Computer Interaction*. For students and researchers, Harris’s insights offer a crucial reminder: the future of human-AI teamwork depends not just on what machines can do, but on how people feel about them.

Research Focus

Key Achievements

1
H-Index
1
Papers
134
Total Citations
134
Avg Citations/Paper
🏆 Most Cited Paper
Social perception in Human-AI teams: Warmth and competence predict receptivity to AI teammates
134 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Oklahoma

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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