Exploring Peripheral Visualization for Enhanced Manual Welding Quality

Despite the rise of robotic automation, manual welding remains essential in modern manufacturing where flexibility and precision are required, yet maintaining consistent quality remains a challenge. This paper presents a prototype system that uses peripheral visualization to deliver real-time, non-foveal feedback on travel speed via dynamic LED cues embedded in a welding visor. The system translates welding movement into peripheral visual cues designed to support focus and reduce visual distraction. In tests with both novice and expert welders, the feedback improved speed consistency by over 30%, indicating strong potential for enhancing task performance and training through subtle, low-cognitive-load feedback. While tailored to welding, the findings highlight peripheral visualization as a promising strategy for improving quality of experience in attention-critical AR tasks.