Birthe Nesset
Papers
9
Total Citations
157
H-Index
6
About
Birthe Nesset is a leading researcher in human-robot interaction (HRI), with a focus on trust, transparency, and communication between humans and autonomous systems. Her work explores how robots can build, lose, and repair trust—especially in the face of errors or repeated failures. She has developed novel frameworks for understanding how vulnerability and Theory of Mind (ToM) influence user trust and collaboration, and has contributed to the design of trust repair strategies, such as nuanced apologies, to mitigate the impact of robot mistakes. Nesset’s methodological contributions include pioneering the use of the mixed-methods Delphi technique for psychometric scale development, creating more reliable tools to measure trust in HRI. Her most cited paper, “Transparency in HRI: Trust and Decision Making in the Face of Robot Errors” (2021), has garnered 65 citations and is foundational in the field. She also led the development of FurChat, an embodied conversational agent that integrates large language models with facial expressions for open- and closed-domain dialogue. With over 150 total citations and a growing portfolio of high-impact studies, Nesset is shaping how we design trustworthy, socially adept robots for real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1Transparency in HRI: Trust and Decision Making in the Face of Robot Errors65 citations · 2021
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- 3Exploring Theory of Mind for Human-Robot Collaboration20 citations · 2022
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- 5A Meta-Analysis of Vulnerability and Trust in Human–Robot Interaction8 citations · 2024
- 6Sensitivity of Trust Scales in the Face of Errors8 citations · 2022
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