Department of Psychology, University of Minnesota, MN, USA.
J Vis. 2022 Sep 2;22(10):12. doi: 10.1167/jov.22.10.12.
When the visual environment changes, vision adapts in order to maintain accurate perception. For repeatedly encountered environmental changes, the visual system may learn to adjust immediately, a process called "visual mode switching." For example, following experience with red glasses, participants report that the glasses' redness fades instantly when they put the glasses on. Here we tested (1) whether once-daily experience suffices for learning to switch visual modes and (2) whether effects of mode switching apply to most stimuli affected by the environmental change. In Experiment 1, 12 participants wore bright red glasses for a single 5-hr period each day for 5 days, and we tested for changes in the perception of unique yellow, which contains neither red nor green. In Experiment 2, we tested how mode switching affects larger parts of the color space. Thirteen participants donned and removed the glasses multiple times a day for 5 days, and we used a dissimilarity rating task to measure and track perception of many different colors. Across days, immediately upon donning the glasses, the world appeared less and less reddish (Experiment 1), and colors across the whole color space appeared more and more normal (Experiment 2). These results indicate that mode switching can be acquired from a once-daily experience, and it applies to most stimuli in a given environment. These findings may help to predict when and how mode switching occurs outside the laboratory.
当视觉环境发生变化时,为了保持准确的感知,视觉系统会进行适应。对于反复遇到的环境变化,视觉系统可能会学会立即进行调整,这个过程称为“视觉模式切换”。例如,在体验过红色眼镜后,参与者报告说,当他们戴上眼镜时,眼镜的红色会立即消失。在这里,我们测试了(1)是否每天仅需一次体验即可学习切换视觉模式,以及(2)模式切换的效果是否适用于受环境变化影响的大多数刺激。在实验 1 中,12 名参与者每天佩戴鲜红色眼镜 5 小时,连续 5 天,我们测试了对独特的黄色(既不包含红色也不包含绿色)的感知变化。在实验 2 中,我们测试了模式切换如何影响更大的颜色空间部分。13 名参与者每天多次佩戴和摘下眼镜,连续 5 天,我们使用不相似性评分任务来衡量和跟踪对许多不同颜色的感知。随着时间的推移,参与者在戴上眼镜后的瞬间就会发现世界变得越来越不那么红色(实验 1),整个颜色空间中的颜色看起来也越来越正常(实验 2)。这些结果表明,模式切换可以通过每天一次的体验获得,并且适用于给定环境中的大多数刺激。这些发现可能有助于预测实验室外何时以及如何发生模式切换。