Damian Hostettler
Papers
4
Total Citations
47
H-Index
3
About
Damian Hostettler investigates the intersection of human-robot interaction (HRI) and industrial automation, with a focus on how robot movement behavior shapes human perception, acceptance, and safety. His research demonstrates that human-like movements in industrial robots significantly improve observer perception—a finding from his most-cited 2022 study, which has garnered 36 citations. Hostettler also pioneers the use of pupillometry as a real-time measure of user cognitive workload during HRI, enabling adaptive systems that tailor robot behavior to individual users. His 2025 work on real-time adaptive industrial robots directly advances safety and comfort in collaborative manufacturing settings. By systematically exploring how subtle variations in robot motion affect human trust and comfort, Hostettler’s contributions bridge cognitive science and practical robotics. His studies, including those on individual user differences, collectively inform the design of more intuitive, socially acceptable industrial robots—a critical step toward seamless human-robot teamwork in factories.
Research Focus
Key Achievements
Top Papers
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