Siegfried Wahl

University of Tübingen, Carl Zeiss (Germany)

Papers

Total Citations

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About

Siegfried Wahl is a pioneering researcher at the intersection of human-computer interaction, assistive technology, and artificial intelligence. His work focuses on leveraging gaze behavior to improve the safety and usability of AI-supported systems, particularly for individuals with motor impairments. Wahl’s major contributions include developing gaze-based prediction models that can anticipate system errors in real time, thereby enhancing trust and reliability in human-robot collaboration. His 2023 study, "Leveraging gaze for potential error prediction in AI-support systems," with 3 citations, laid the groundwork for using eye-tracking as a non-invasive diagnostic tool during human-robot interaction. Expanding on this, his 2024 paper, "Communication breakdown: Gaze-based prediction of system error for AI-assisted robotic arm simulated in VR," with 2 citations, introduced a novel virtual reality framework to simulate and measure user responses during system failures. This work is especially impactful for designing accessible mobility aids for people with neurological degenerative conditions. Wahl’s innovative approach—combining VR simulation with gaze analytics—offers a scalable, low-cost method to improve AI transparency and user autonomy, marking him as a rising voice in inclusive robotics and human-AI interaction.