Hansen Zhou
Papers
3
Total Citations
57
H-Index
2
About
Hansen Zhou is a rising scholar at the forefront of understanding human-technology interaction, with a particular focus on artificial intelligence and workplace robotics. His research centers on two key areas: reconciling the conflicting findings of AI aversion versus AI appreciation, and exploring the psychological and behavioral implications of human-robot dynamics in organizational settings. Zhou’s most impactful contribution is the development of the Capability-Personalization Framework, a theoretical model that explains when and why people prefer AI over humans or vice versa. This work, published in a 2025 meta-analytic review, has already garnered 53 citations, signaling its rapid influence in the field. Additionally, Zhou has pioneered the conceptualization and measurement of leader anthropomorphizing behavior toward robots (LABR), examining how such behaviors can lead to perceived objectification and workplace deviance. His research not only advances theoretical understanding but also offers practical insights for organizations integrating AI and robots. With his innovative frameworks and growing citation impact, Hansen Zhou is establishing himself as a key voice in the evolving discourse on human-AI collaboration.
Research Focus
Key Achievements
Top Papers
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