Jennifer R. Calhoun
Papers
1
Total Citations
54
H-Index
1
About
Jennifer R. Calhoun is a pioneering researcher at the intersection of human-robot interaction and organizational behavior. Her work critically examines how the design of social robots—particularly their human-likeness—shapes workplace dynamics, employee psychology, and industry-level outcomes. In her landmark 2024 study, “I was so scared I quit”: Uncanny valley effects of robots’ human-likeness on employee fear and industry turnover intentions, Calhoun demonstrated that robots approaching, but not perfectly matching, human appearance can trigger the “uncanny valley” effect, provoking significant fear among workers. This fear, she found, directly correlates with increased turnover intentions, offering the first empirical link between robotic design and labor market instability. With 54 citations in its first year, this work has already influenced both robotics engineering and human resources policy. Calhoun’s contributions are vital for understanding how automation can be implemented without alienating the workforce, making her a key voice in ethical AI deployment and the future of work.
Research Focus
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Top Papers
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