Improved probabilistic inference as a general learning mechanism with action video games

By Shawn C. Green, Alexandre Pouget, Daphne Bavelier. Current Biology, 2010

345 citations recorded by the source corpus.

SUMMARY Action video game play benefits performance in an array of sensory, perceptual and attentional tasks that go well beyond the specifics of game play [1-9]. That a training regimen may induce improvements in so many different skills is notable as the majority of studies on training-induced learning report improvements on the trained task but limited transfer to other, even closely related tasks [10, but see also 11-13]. Here we ask whether improved probabilistic inference may explain such broad transfer. Using a visual perceptual decision making task [14, 15], the present study shows for the first time that action video-game experience does indeed improve probabilistic inference. A neural model of this task [16] establishes how changing a single parameter, namely, the strength of the connections between the neural layer providing the momentary evidence and the layer integrating the evidence over time captures improvements in action-gamers behavior. These results were established in a visual, but also in a novel auditory task, indicating generalization across modalities. Thus, improved probabilistic inference provides a general mechanism for why action video game playing enhances performance in a wide variety of tasks. In addition, this mechanism may serve as a signature of training regimens that are likely to produce transfer of learning.

Subfields: Artificial Intelligence, Developmental and Educational Psychology

View Paper: https://www.semanticscholar.org/paper/50f7b68e51be29dec373aa87a8f1fea1c21cbf61

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In Artificial Intelligence

  1. Daphne Bavelier
  2. Shawn C. Green
  3. Nora S. Newcombe
  4. Danielle S. McNamara
  5. Richard E. Mayer
  6. Torkel Klingberg
  7. Benoit Bediou
  8. Deanne Adams

In Developmental and Educational Psychology

  1. Daphne Bavelier
  2. C. Shawn Green
  3. Shawn C. Green
  4. Nora S. Newcombe
  5. Richard E. Mayer
  6. Alexandre Pouget
  7. Louis Alfieri
  8. Naomi J. Aldrich

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