Nicolas Daniel Herzberger
Papers
1
Total Citations
2
H-Index
1
About
Nicolas Daniel Herzberger is a researcher focused on human-machine interaction, automation, and safety in assistive systems. His work explores the psychological and technical dimensions of how humans perceive and trust automated technologies, particularly in safety-critical contexts. His most-cited paper, "Das (unheimliche und) unsichere Tal der Assistenz und Automation – Beschreibung und Absicherungsmöglichkeiten" (2017), draws on the uncanny valley concept to analyze how mismatches between human expectations and machine capabilities can create uncertainty and risk. Herzberger proposes strategies to mitigate these risks, emphasizing the need for transparent system design and robust safety assurances. Although his citation count is modest, his contributions are significant for advancing understanding of trust calibration in human-automation cooperation. His work bridges cognitive psychology and engineering, offering practical frameworks for designing safer, more intuitive assistive technologies. Herzberger’s research is particularly relevant for developers of autonomous systems, from manufacturing to healthcare, where human reliance on automation must be carefully managed to prevent accidents.
Research Focus
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Top Papers
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