Papers
1
Total Citations
2
H-Index
1
About
Na Chen is an emerging researcher whose work sits at the intersection of human-robot interaction and organizational behavior. Her scholarship explores how personality dynamics between humans and robotic systems influence real-world outcomes, with a particular focus on how individual traits shape collaborative performance. Her most recognized work, "The Effect of Human-Robot Extroversion Matching on Individual Work Performance" (2022), investigates the nuanced ways in which aligning human and robot personality characteristics — specifically extroversion — can meaningfully affect individual productivity and engagement. This research contributes to a growing body of literature that moves beyond purely technical assessments of robotic systems, instead centering the human psychological experience of working alongside artificial agents. By demonstrating that personality compatibility between humans and robots carries measurable consequences for performance, Chen's work offers practical implications for the design and deployment of social robots in workplace settings. Though early in her citation trajectory with 2 citations to date, her research addresses a timely and increasingly relevant question as automation and human-robot teaming become ever more prevalent across industries.
Research Focus
Key Achievements
Top Papers
- 1