Massaro D W, Ellison J W
Department of Psychology, University of California, Santa Cruz 95064, USA.
Mem Cognit. 1996 Nov;24(6):812-22. doi: 10.3758/bf03201104.
Previous research has shown that the perception of affect in faces is well described by the fuzzy logical model of perception (FLMP). In this study, we asked whether the processes involved in recognition depended on the race/culture of the face and/or of the perceiver. A computer-generated face was used to manipulate two features of facial affect: brow deflection and mouth deflection. An expanded-factorial design was used, with four levels of brow deflection crossed with four levels of mouth deflection, as well as their corresponding half-face conditions. Participants identified these faces as either happy or angry. Japanese and U.S. students were tested on faces from these two countries that were texture-mapped onto the animated face. The FLMP gave the best description of performance for both groups and for both types of faces. These findings challenge previous claims of holistic perception, categorical perception, and additive feature integration.
先前的研究表明，面部情感感知可以通过模糊逻辑感知模型（FLMP）得到很好的描述。在本研究中，我们探讨了识别过程是否依赖于面部以及/或者感知者的种族/文化。使用计算机生成的面部来操纵面部情感的两个特征：眉毛倾斜度和嘴巴倾斜度。采用扩展因子设计，眉毛倾斜度有四个水平，嘴巴倾斜度有四个水平，以及它们相应的半脸条件。参与者将这些面部识别为高兴或愤怒。对日本和美国学生测试了来自这两个国家的面部，这些面部被纹理映射到动画面部上。FLMP对两组以及两种类型的面部的表现给出了最佳描述。这些发现挑战了先前关于整体感知、分类感知和加法特征整合的说法。
