Sarah Diefenbach
Papers
11
Total Citations
350
H-Index
8
About
Sarah Diefenbach is a leading researcher in human-robot interaction (HRI) and the psychology of technology, whose work critically examines how we build trust, form relationships, and even overtrust social robots and chatbots. Her most cited paper (136 citations) systematically explores whether robots earn trust through the same human dimensions of competence and warmth, while her follow-up work (64 citations) provides a psychological analysis of the dangerous phenomenon of overtrust in anthropomorphic machines. Diefenbach’s research spans from the practical—such as using a "Murphy Miserable Robot" to comfort children in pediatric waiting rooms—to the provocative, challenging the ideal of human-likeness by revealing how anthropomorphic designs can distort our mental models of robots. She also investigates long-term human-technology relationships, such as regular chatbot use for healthcare support. With over 350 total citations across her top papers, Diefenbach’s work is essential for understanding the psychological mechanisms that govern our interactions with social technologies, and she consistently advocates for responsible automation that preserves human meaning and competence.
Research Focus
Key Achievements
Top Papers
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- 5Murphy Miserable Robot28 citations · 2016
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- 8Who do you follow?8 citations · 2018
- 9Social Robot Personality: A Review and Research Agenda5 citations · 2023
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