The mirror neuron system has dominated understanding of observational learning from a cognitive neuroscience perspective. Our review highlights the value of observational learning frameworks that integrate a more diverse and distributed set of cognitive and brain systems, including those implicated in sensorimotor transformations, as well as in more general processes such as executive control, reward, and social cognition. We argue that understanding how observational learning occurs in the real world will require neuroscientific frameworks that consider how visuomotor processes interface with more general aspects of cognition, as well as how learning context and action complexity shape mechanisms supporting learning from watching others.
Learning from Watching Others Is a Fundamental Human SkillWhether learning to dance Gangnam Style, open a bottle of champagne, or tie shoelaces, humans learn a great deal by simply watching others [1,2]. Learning by observation can have many benefits over physical practice without observation. This is especially true in dangerous or novel environments where poor initial performance can be costly, such as learning to drop in on a skateboard ramp without first watching someone else do it successfully. Equally, learning by watching others is beneficial in social situations where active participation is not possible, such as watching your supervisor give critical feedback to a colleague. As such, observational learning has been of considerable interest to experts from a variety of disciplines, including social and developmental psychology, sport and exercise science, comparative biology and robotics, where researchers are examining how we learn from watching others across a range of behaviors, from simple motor movements to complex social interactions [1,[3][4][5].
HighlightsUnderstanding how the human brain translates visual information into skilled motor performance has been assisted and constrained by the discovery of mirror neurons.Emerging evidence highlights how observational motor learning involves a far more diffuse network of brain regions and cognitive processes, which are shaped by the context and complexity of the motor task to be learned.A greater emphasis on combining functional decomposition and functional integration approaches should facilitate paradigms and discoveries that move us closer toward understanding how we learn from watching others in complex, real-world scenarios.