Principal Investigator: Dr. Doug Addleman, Psychology
IIAT AI Engineer: Yanxia Wu
IIAT Student Researcher: Zobe Murray
This research aims to inform the development of a quantitative tool using machine learning that can assist in identifying visual and semantic similarities between images. For example, searching for a snail might be made more difficult by introducing visually similar distractors like cinnamon rolls or semantically similar ones like seahorses. This approach will inform theories about the role of visual features and semantics in visual attention that will be of interest across a range of fields in cognitive and computer science (visual neuroscience, the development of conceptual knowledge during childhood, computer vision and more).