Reverse Correlation Task
The reverse correlation task is a data-driven method for visualizing the mental representations people hold of social categories and traits, such as what a trustworthy, dominant, or criminal face looks like in the mind's eye. Adapted to social perception by Dotsch and Todorov in 2012, the technique superimposes random visual noise on a base face to create many slightly different images, and asks participants to repeatedly choose, from pairs, the image that best fits a target trait. By averaging the noise patterns from the chosen images, the researcher produces a classification image -- a picture that reveals the visual features the participant's mind associates with the trait, without the experimenter ever specifying those features in advance. Independent raters then judge the classification image to confirm it conveys the intended trait. The method made it possible to render otherwise hidden mental representations and biases as concrete, testable images.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
精选声明
声明已持久化到证据分类账中，每个声明都有自己的评估。
当分类账中没有声明时，此视图不会自行创建声明评估。
相关方法
从方法图中生成，显示为机器建议的关系 — 不推断任何证据声明。