Papers
48
Total Citations
655
H-Index
14
About
Christopher Schlick is a prominent researcher whose work sits at the intersection of human-robot interaction, ergonomics, and industrial production systems. His scholarship has fundamentally advanced our understanding of how humans and robots can collaborate effectively in manufacturing environments, addressing both technical and psychological dimensions of this partnership. Schlick's most influential contribution, "TAM Reloaded" (2016, 85 citations), adapted the Technology Acceptance Model specifically for human-robot cooperation, providing researchers and practitioners with a robust framework for evaluating worker attitudes toward robotic colleagues. Complementing this, his 2015 analysis of ergonomic requirements for human-robot cooperation (65 citations) articulated a compelling vision of hybrid workforces that leverage robots' precision for repetitive tasks while preserving human adaptability for complex problem-solving. Beyond the factory floor, Schlick has explored service robotics, investigating the spatial and psychological comfort zones humans maintain around approaching robots (52 citations). His work on anthropomorphism, gender differences in robotic perception, and augmented vision systems for assembly error detection further demonstrates his interdisciplinary reach. By integrating cognitive science principles into assembly sequence planning and robotic automation, Schlick has helped bridge the gap between human cognition and machine intelligence, making him an essential voice in shaping safe, productive, and human-centered workplaces of the future.
Research Focus
Key Achievements
Top Papers
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- 6Gender Effects in Observation of Robotic and Humanoid Actions27 citations · 2020
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