Beyond One-Size-Fits-All: Personalizing Affective Stimuli with Generative AI
Reliable affect induction remains a core challenge in affective science, as legacy stimulus databases are static, culturally limited, and often elicit only moderate emotional responses. This PhD project proposes a closed-loop pipeline leveraging modern AI models to generate, evaluate, explain, and personalize affective...