A real-time approach to the development of adaptive problem solving
(TIME TBC) : Functional everyday behavior is rife with problems—how to navigate an obstacle, open a latch, or grasp the handle of a tool. Traditionally, developmental researchers focus on the ages at which children succeed in various tasks. Indeed, previous studies established that problem solving begins in infancy and improves with age and experience. However, this outcome-oriented approach addresses only the question of when children can solve a particular problem. It provides limited insight into the mechanisms of how individual children solve problems adaptively, regardless of their success in doing so. Collectively, my research aims to discover how real-time interplay among perception, cognition, and action drives adaptive problem solving over development. From cruising infants to soccer-playing robots, I adopt an innovative approach that combines interdisciplinary perspectives (child development, artificial intelligence, neuroscience, motor control), methods (eye-tracking, EEG, motion tracking, robotics, computer vision, and video), ages (infants, children, adults), and tasks (manual and locomotor).