Learning, attentional control and action video games

By C. Shawn Green, Daphne Bavelier. Current Biology, 2012

649 citations recorded by the source corpus.

While humans have an incredible capacity to acquire new skills and alter their behavior as a result of experience, enhancements in performance are typically narrowly restricted to the parameters of the training environment, with little evidence of generalization to different, even seemingly highly related, tasks. Such specificity is a major obstacle for the development of many real-world training or rehabilitation paradigms, which necessarily seek to promote more general learning. In contrast to these typical findings, research over the past decade has shown that training on ‘action video games’ produces learning that transfers well beyond the training task. This has led to substantial interest among those interested in rehabilitation, for instance, after stroke or to treat amblyopia, or training for various precision-demanding jobs, for instance, endoscopic surgery or piloting unmanned aerial drones. Although the predominant focus of the field has been on outlining the breadth of possible action-game-related enhancements, recent work has concentrated on uncovering the mechanisms that underlie these changes, an important first step towards the goal of designing and using video games for more definite purposes. Game playing may not convey an immediate advantage on new tasks (increased performance from the very first trial), but rather the true effect of action video game playing may be to enhance the ability to learn new tasks. Such a mechanism may serve as a signature of training regimens that are likely to produce transfer of learning.

Subfields: Artificial Intelligence, Developmental and Educational Psychology, Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/df20ce9e15809745dbe426f4f0958f41b142a559

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

  1. Frank Sengpiel
  2. Francesca Gottschalk
  3. Daphne Bavelier
  4. Valerie J. Shute
  5. Shawn C. Green
  6. Nora S. Newcombe
  7. Danielle S. McNamara
  8. Richard E. Mayer

In Developmental and Educational Psychology

  1. Frank Sengpiel
  2. Daphne Bavelier
  3. C. Shawn Green
  4. Michael D. Patterson
  5. Adam C. Oei
  6. Shawn C. Green
  7. Valerie J. Shute
  8. Francesca Gottschalk

In Experimental and Cognitive Psychology

  1. Daphne Bavelier
  2. C. Shawn Green
  3. Frank Sengpiel
  4. Jason M. Chein
  5. Michael D. Patterson
  6. Adam C. Oei
  7. Shawn C. Green
  8. Francesca Gottschalk

Citations in the corpus