Nico Lingg

Papers

Total Citations

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About

Nico Lingg is a pioneering researcher at the intersection of assistive robotics and human-robot interaction (HRI), with a focused expertise on trust dynamics in autonomous systems. His work addresses a critical barrier to the adoption of assistive technologies: how users develop and maintain trust in robotic agents during real-world interactions. Lingg’s most cited study, “Building Trust in Assistive Robotics: Insights From a Real-World Mobile Navigation Experiment” (2023, 8 citations), demonstrated through a 27-participant experiment how trust forms during autonomous wheelchair navigation, providing empirical evidence that practical, in-situ testing is essential for designing acceptable assistive robots. In a complementary breakthrough, Lingg introduced “Trusty,” a novel handheld continuous trust measurement device (2023, 4 citations), moving beyond traditional self-report surveys to capture moment-to-moment trust fluctuations during HRI. This methodological innovation offers researchers a more nuanced tool for understanding the temporal dynamics of trust. By bridging the gap between laboratory studies and real-world deployment, Lingg’s work is shaping how engineers and designers build trustworthy, user-centered assistive robotics for individuals with mobility impairments.