Learning to Detect UI Principle Violations via Reinforcement Learning
This work unify 19 interface-quality principles from three complementary sources of HCI knowledge: WCAG 2.2 accessibility standards, deceptive design taxonomies, and established theories of perception, cognition, and interaction to investigate whether a lightweight vision-language model can serve as an effective critic for generated interfaces.