Austin Kothig
Papers
5
Total Citations
56
H-Index
5
About
Austin Kothig is a researcher at the forefront of adaptive human-robot interaction (HRI), specializing in the integration of physiological sensing, trust dynamics, and cybersecurity. His work centers on closing the loop between humans and machines by using unobtrusive wearable sensors to detect complex states like engagement and stress, enabling robots to respond in real time. His most cited paper, “Connecting Humans and Robots Using Physiological Signals – Closing-the-Loop in HRI” (2021, 18 citations), lays the foundation for this adaptive paradigm. Kothig also explores how hardware faults impact trust, as shown in “Expectations Vs. Reality: Unreliability and Transparency in a Treasure Hunt Game With iCub” (2021, 16 citations), and has developed the HRI Physio Lib software framework to support physiological adaptation. In a novel twist, his work “That’s not a Good Idea: A Robot Changes Your Behavior Against Social Engineering” (2023, 7 citations) applies HRI to cybersecurity, demonstrating how robots can protect humans from manipulation. With additional contributions to binaural sound localization for humanoid robots, Kothig’s interdisciplinary research bridges engineering, psychology, and safety, making him a rising voice in creating more responsive, trustworthy, and secure robotic systems.
Research Focus
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