Apply Retrieval Augmented Generation to Support QR-Code Human-Computer Interaction Redesign for the Elderly

This study presents a Retrieval-Augmented Generation (RAG)-assisted workflow using AnythingLLM to support evidence- informed accessibility redesign. Using QR-Code interaction for older adults as a case example, the workflow retrieves accessibility evidence, maps it to redesign decisions, and formalizes the results into state-based pseudo-code. The contribution lies in a traceable design-support process that connects literature-based evidence, interface decisions, and interaction logic, rather than proposing new accessibility principles.