Broad-based visual benefits from training with an integrated perceptual-learning video game

被引:47
作者
Deveau, Jenni [1 ]
Lovcik, Gary [2 ]
Seitz, Aaron R. [1 ]
机构
[1] Univ Calif Riverside, Dept Psychol, Riverside, CA 92521 USA
[2] Anaheim Hills Optometry Ctr, Anaheim, CA USA
基金
美国国家科学基金会;
关键词
Perceptual learning; Vision therapy; Applied vision; Mechanisms of learning; CONTRAST DISCRIMINATION; MOTION; SPECIFICITY; IMPROVEMENT; CORTEX;
D O I
10.1016/j.visres.2013.12.015
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Perception is the window through which we understand all information about our environment, and therefore deficits in perception due to disease, injury, stroke or aging can have significant negative impacts on individuals' lives. Research in the field of perceptual learning has demonstrated that vision can be improved in both normally seeing and visually impaired individuals, however, a limitation of most perceptual learning approaches is their emphasis on isolating particular mechanisms. In the current study, we adopted an integrative approach where the goal is not to achieve highly specific learning but instead to achieve general improvements to vision. We combined multiple perceptual learning approaches that have individually contributed to increasing the speed, magnitude and generality of learning into a perceptual-learning based video-game. Our results demonstrate broad-based benefits of vision in a healthy adult population. Transfer from the game includes; improvements in acuity (measured with self-paced standard eye-charts), improvement along the full contrast sensitivity function, and improvements in peripheral acuity and contrast thresholds. The use of this type of this custom video game framework built up from psychophysical approaches takes advantage of the benefits found from video game training while maintaining a tight link to psychophysical designs that enable understanding of mechanisms of perceptual learning and has great potential both as a scientific tool and as therapy to help improve vision. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:134 / 140
页数:7
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