Kai Chi Yam

National University of Singapore

Papers

14

Total Citations

1,039

H-Index

11

About

Kai Chi Yam is a pioneering organizational psychologist whose research sits at the intersection of human-robot interaction, workplace behavior, and the psychological consequences of automation. Based primarily at the National University of Singapore, Yam has established himself as one of the leading voices examining how intelligent machines reshape human cognition, emotion, and organizational dynamics. His most influential work explores how anthropomorphism affects our responses to service robots — finding, notably, that robots perceived as having feelings receive greater forgiveness for mistakes (314 citations) — and demonstrating through multimethod evidence that rising automation fuels job insecurity and maladaptive workplace behaviors (262 citations). His research on the "uncanny valley" (127 citations) and robotic supervisors (85 citations) further reveals the nuanced psychological tensions humans experience when machines take on human-like qualities. What distinguishes Yam's scholarship is its remarkable breadth: he has connected automation to declining religiosity, examined cross-cultural variation in AI acceptance, and applied stakeholder theory to algorithmic systems. With over 1,000 cumulative citations across a relatively compact body of work, Yam's research is rapidly shaping how management scholars, policymakers, and organizations understand the profound human stakes embedded in technological transformation.

Research Focus

Key Achievements

11
H-Index
14
Papers
1,039
Total Citations
74
Avg Citations/Paper
🏆 Most Cited Paper
Robots at work: People prefer—and forgive—service robots with perceived feelings.
314 citations · 2020
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 35
🏛 Institutions: National University of Singapore

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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