面孔性别判断信息偏好的分布模型

Continuously Distributed Face Information Preference Model of Gender Judgment

目的试图构建面孔性别判断信息偏好的分布模型,用于解释面孔认知任务特异性以及知觉不对称性现象,从而补充经典面孔表征理论的不足。方法利用Bubbles技术和聚焦窗口技术探索面孔性别判断的信息偏好。结果在特定任务下的面孔判断对面孔上的信息具有特定的偏好,且面孔上的每一点都具有一定的权重值,从最关键到最不关键可以建立一个分布模型。在面孔性别判断中,最为关键的信息为眼睛部分的信息,接着是嘴巴和鼻子的信息。结论面孔上信息在面孔认知中权重不同;面孔性别判断中眉毛和眼睛区域提供的信息最为关键,且具有任务特异性;面孔性别判断具有知觉不对称效应,其中左半脸有更大的作用。

Objective To establish a distribution model of face information preference on gender judgment, which can interpret the task specific and face perception asymmetry, and makes the traditional theory more interpretable. Methods Using Bubbles Technique and Focus Windows Technique to explore face information preference on gender judgment. Results The present study has found in a specific task for the judgment on the face there is a specific Preference,and each pixel of the face has certain weighted value, from the most key to the least one being a distribution model. The most key information is eyes, next is mouth and nose. Conclusion The face information in face cognition has different weights. Eyebrows and eyes area provide criti- cal information in face gender judgment, and it is task-special. There is a perception asymmetry, in which left face is more important for gender judgment.