Cognitive Profile

Cognitive profiling aims to characterize the mental processes and capabilities of both humans and artificial intelligence systems. Current research focuses on identifying key cognitive factors influencing behaviors like trust in autonomous vehicles and reading comprehension, often employing machine learning techniques like Bayesian triangulation and leveraging language model embeddings to analyze behavioral data. These efforts are significant because they offer insights into human cognition, improve the design of human-computer interfaces, and enable more nuanced evaluations of AI systems' capabilities and limitations.