Neuroscience-Inspired Analyses of Visual Interestingness in Multimodal Transformers

ArXi:2605.08188v1 Announce Type: cross Human attention is the gateway to conscious perception, memory and decision-making. However, its role in modern transformer models remains largely unexplored. As these systems increasingly influence what people see, prefer and buy, the question arises as to whether they encode principles of human interest or merely exploit large-scale correlations. Addressing this issue is crucial for understanding cognition and ensuring the responsible use of AI in communication and marketing.