Exploring Human Behavior During Abstract Rule Inference and Problem Solving with the Cognitive Abstraction and Reasoning Corpus

Researchers introduced CogARC, a human-adapted subset of the Abstraction and Reasoning Corpus, to study how humans solve abstract visual reasoning problems. In experiments with 260 participants solving 75 problems, researchers found high success rates (~80-90%) but significant variation in problem difficulty and solution strategies.