Dakuo Wang

IBM Research - Thomas J. Watson Research Center, Northeastern University

Papers

Total Citations

H-Index

About

Dakuo Wang is a leading researcher at the intersection of human-robot interaction, artificial intelligence, and cognitive engineering. His work fundamentally explores how humans perceive, trust, and collaborate with intelligent systems, with a particular focus on cultural factors and assistive technologies. Wang’s most cited paper, “Projecting Life Onto Robots” (2018, 23 citations), introduces the concept of “multi-dimensional anthropomorphism,” offering a nuanced framework for understanding how cultural background and robot design influence human perceptions of robots. This work has become essential reading for researchers designing socially acceptable robots. More recently, Wang has pushed the boundaries of brain-computer interfaces (BCI) with his 2022 paper “DeepBrain” (9 citations), which explores combining EEG-based BCI with robotic systems to assist mobility-impaired individuals. This pioneering work demonstrates his commitment to translating cognitive science into practical, life-changing technologies. Wang’s research is notable for its interdisciplinary rigor, bridging engineering, psychology, and design to create more intuitive and culturally-aware human-machine systems. His contributions are shaping the future of assistive robotics and human-AI collaboration.