![Specificity of Perceptual Learning ,[object Object],Fiorentini, A. & Berardi, N. (1980). Perceptual learning specific for orientation and spatial frequency. Nature, 287, 43-44. ,[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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Action Video Games and “Learning to Learn”
- 1. Action Video Games and “Learning to Learn” C. Shawn Green Daphne Bavelier Alex Pouget Supported by NEI, ONR, The James S. McDonnell Foundation
- 5. Temporal Processing Green and Bavelier, Nature (2003)
- 6. Temporal Processing Green and Bavelier, Nature (2003) B L R S W C Q X Y J G D T P
- 7. Temporal Processing Green and Bavelier, Nature (2003) 100 200 Time since white letter (ms) 400 500 600 700 800 300
- 8. Spatial Processing Green and Bavelier, Psychological Science (2007) Crowding Spatial Processing T T T T T T T T T
- 9. Spatial Processing Crowding Green and Bavelier, Psychological Science (2007) 0 10 25 Eccentricity (deg)
- 11. A Single Mechanism? Dye, Green and Bavelier, Current Directions in Psychological Science (2009) VGP RT = NVGP RT *.88 R 2 = .98
- 14. Perception as Inference O y x
- 15. Perception as Inference Infinite number of 3D shapes can map to the same 2D image s x z y
- 16. Perception as Inference Deer or mailbox? p (deer| sensory data)?
- 17. Action Video Game Experience Improves Inference
- 18. Action Video Game Experience Improves Inference How close is subjects’ estimate of: p (deer| sensory data) to the actual value?
- 22. Thank You Acknowledgements PhD Advisor Daphne Bavelier Bavelier Lab: Rebecca Achtman Ashley Anderson Matt Dye David Feder Nina Fernandez Renjie Li Mike Sugarman Alex Pouget Jeff Beck Weiji Ma Current Advisors: Daniel Kersten Paul Schrater
Notes de l'éditeur
- Specific even for eye – a problem with goal of rehabilitation or job training, etc
- Experience here really means “experience” – we always start out by testing VGPS and NVGPs, but then do training study
- While there are no hard and fast quantitative rules that one can apply to perfectly classify video games into their various genres, action video games all share a set of qualitative features including extraordinary speed (both in terms of very transient events and in terms of the velocity of moving objects), a high degree of perceptual, cognitive, and motor load in the service of an accurate motor plan (multiple items that need to tracked and/or kept in memory, multiple action plans that need to be considered and quickly executed typically through precise and timely aiming at a target), unpredictability (both temporal and spatial), and an emphasis on peripheral processing (with important items most often appearing away from the center of the screen). First-person shooters and third-person shooters are prototypical examples of action video games. Hence, when we discuss ‘action video games’ or ‘action video game players’, we are referring specifically to this category and not to all video games in general. Indeed, one remarkable feature of the work reviewed below is that it demonstrates that not all types of complex and rich visual environments equally foster perceptual learning. Understanding those components specific to action video games that promote learning across a wide range of visual tasks may hold the key to the development of general-learning training paradigms.
- NO DIFFERENCE IN ACCURACY! NOT A SPEED-ACCURACY TRADEOFF
- NO DIFFERENCE IN ACCURACY! NOT A SPEED-ACCURACY TRADEOFF
- Again a preview - through Bayes rule this computation requires knowledge of the statistics of the evidence - p(e | c) - likelihood -
- Best you can do is take each snippet of sensory data and compute the probability – the closer you are to the real probability, the “better”
- Again a preview - through Bayes rule this computation requires knowledge of the statistics of the evidence - p(e | c) - likelihood -
- Again a preview - through Bayes rule this computation requires knowledge of the statistics of the evidence - p(e | c) - likelihood -
- Again a preview - through Bayes rule this computation requires knowledge of the statistics of the evidence - p(e | c) - likelihood -