E-Yang Goh
Papers
1
Total Citations
85
H-Index
1
About
E-Yang Goh is a pioneering researcher at the intersection of human-robot interaction, organizational behavior, and the psychology of automation. Their most cited work, "When your boss is a robot: Workers are more spiteful to robot supervisors that seem more human" (2022, 85 citations), challenges conventional assumptions about workplace automation by revealing a counterintuitive dynamic: employees exhibit greater spite and resistance toward humanoid robot supervisors than toward more mechanical ones. This finding has significant implications for the design of autonomous systems in hierarchical settings, highlighting how perceived humanness can backfire in authority roles. Goh’s research bridges social psychology and AI ethics, offering critical insights into how trust, power, and emotion shape human responses to robotic leadership. Their work is widely cited in studies on algorithmic management, robot design, and workplace psychology, and has been featured in discussions on the future of work. By exposing the emotional complexities of human-robot hierarchies, Goh provides essential guidance for organizations deploying AI in supervisory roles, ensuring that technological progress does not overlook the nuanced social dynamics of the workplace.
Research Focus
Key Achievements
Top Papers
- 1