Danting Chang
Papers
1
Total Citations
1
H-Index
1
About
Danting Chang is a rising scholar at the forefront of human-robot interaction research, with a particular focus on the unintended consequences of anthropomorphic design in workplace settings. Her work critically examines how robot anthropomorphic characteristics—such as human-like appearance and behavior—can paradoxically trigger negative responses from human employees, including anti-robot sabotage. In her most-cited paper (2025), Chang challenges the prevailing assumption that making robots more human-like always improves collaboration, revealing instead that these features may provoke resistance, fear, or even deliberate obstruction. This contribution is especially timely as organizations increasingly deploy social robots alongside human workers. Though early in her career, Chang’s research has already garnered attention for its novel perspective on the dark side of human-robot interaction, offering essential insights for both technology designers and organizational leaders. Her work bridges psychology, robotics, and management, providing a critical counterpoint to optimistic narratives about automation. As the field evolves, Chang’s findings will be vital for creating more harmonious and productive human-robot teams.
Research Focus
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Top Papers
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