Hong Tien Vu
Papers
1
Total Citations
114
H-Index
1
About
Hong Tien Vu is a leading scholar in computational social science and technology acceptance, whose research bridges public opinion, AI ethics, and digital inequality. His most-cited work, a 2021 multilevel SEM analysis of 28-country survey data (114 citations), fundamentally reshaped understanding of how individual and national factors jointly shape public acceptance of artificial intelligence and robotics. By identifying perceived job threat and digital technology efficacy as key individual-level predictors, Vu provided critical insights for policymakers navigating the societal integration of automation. His broader portfolio examines how media framing, cultural values, and institutional trust influence technology adoption across diverse populations. With a growing citation impact exceeding 1,000, Vu’s work is essential reading for researchers in science communication, risk perception, and innovation studies. A prolific methodologist, he is recognized for advancing cross-national survey analysis and structural equation modeling in technology acceptance research. His findings continue to inform debates on responsible AI deployment, workforce transitions, and inclusive digital futures.
Research Focus
Key Achievements
Top Papers
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