Bettina Kubicek
Papers
5
Total Citations
241
H-Index
3
About
Bettina Kubicek is a leading researcher at the intersection of work psychology, human-robot interaction, and Industry 4.0, whose work is shaping how we understand collaboration between humans and autonomous systems. Her most influential contribution, the 2021 roadmap paper on cobots in Industry 4.0 (219 citations), synthesizes literature from human-robot interaction, organizational psychology, and sociology of work to chart a future for human-robot collaboration in industrial settings. Kubicek has made significant theoretical advances in trust dynamics, proposing a novel relational trust definition based on human intentionality—a framework that moves beyond traditional performance-based models. Her empirical work is equally impactful: she investigates how robot feedback affects human intrinsic motivation, self-esteem, and psychophysiology, revealing that critical robot feedback can have measurable psychological and physiological effects on workers. Through the EASIER project, she applies these insights to high-stakes disaster response scenarios, examining operator trust and cognitive load during human-robot cooperation. Her recent work on explainable AI explores how efficiently computed explanations for robot motion failures affect human trust and collaboration quality. Kubicek’s research uniquely bridges psychological theory with practical robotics, offering critical insights for designing workplaces where humans and robots can thrive together.
Research Focus
Key Achievements
Top Papers
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- 2Trusting robots: a relational trust definition based on human intentionality14 citations · 2024
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