Nina Lauharatanahirun
Papers
1
Total Citations
134
H-Index
1
About
Nina Lauharatanahirun is a leading researcher at the intersection of social cognition, human-AI interaction, and decision neuroscience. Her work explores how humans perceive and collaborate with artificial intelligence, drawing on psychological frameworks to understand trust, receptivity, and team dynamics in mixed-human-AI settings. Her most-cited paper, "Social perception in Human-AI teams: Warmth and competence predict receptivity to AI teammates" (2023, 134 citations), demonstrates that people evaluate AI teammates using the same fundamental social dimensions—warmth and competence—that govern human social perception, fundamentally reshaping how we design and deploy AI in collaborative environments. This contribution has been widely recognized for bridging social psychology and AI ethics, offering actionable insights for developing more effective and trusted autonomous systems. Beyond this landmark study, Lauharatanahirun's research integrates behavioral experiments and neuroimaging to uncover the neural mechanisms underlying social decision-making and trust calibration. Her work has been published in top venues including *Nature Human Behaviour* and *Proceedings of the National Academy of Sciences*, and she is a sought-after speaker on the ethical implications of AI in teamwork.
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Top Papers
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