Christopher Brandl
Papers
15
Total Citations
378
H-Index
8
About
Christopher Brandl is a prominent researcher specializing in human-robot interaction, collaboration, and technology acceptance, with particular focus on how humans perceive and integrate robotic systems in both industrial and assistive contexts. His work has significantly advanced our understanding of the psychological and ergonomic dimensions of human-robot cooperation. Brandl's most influential contribution is his cross-cultural Human-Robot Collaboration Acceptance Model (2019), which garnered 158 citations by comparing attitudes toward robot collaboration across Germany, Japan, China, and the USA — offering rare international insight into how cultural context shapes technology adoption. Building on this, his earlier "TAM Reloaded" framework (2016, 85 citations) adapted classic technology acceptance theory specifically for production environments, providing industry practitioners with practical tools for assessing workforce readiness. Beyond industrial settings, Brandl has investigated the ergonomic nuances of service robotics, examining the physical distances humans comfortably tolerate when robots approach them (52 citations), and exploring assistive applications for elderly care. His ethical, legal, and social analyses of human-robot collaboration further demonstrate his commitment to responsible technology integration. With consistent output across more than a decade, Brandl has established himself as a leading voice shaping how humans and robots can safely and effectively work together.
Research Focus
Key Achievements
Top Papers
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- 6Human-Robot Collaboration in Manual Assembly – A Collaborative Workplace10 citations · 2018
- 7HUMAN-ROBOT SYNERGY FOR COOPERATIVE ROBOTS10 citations · 2016
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