Featural evaluation, integration, and judgment of facial affect
Featural evaluation, integration, and judgment of facial affect
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DOI：
10.1037/0096-1523.23.1.213
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发表时间：
1997-02-01
影响因子：
2.1
通讯作者：
Massaro, DW
中科院分区：
文献类型：
--
作者：
Ellison, JW;Massaro, DW
将模糊感知逻辑模型（FLMP）的范式扩展到面部情感的感知和识别领域。两项实验使用高度逼真的计算机生成的面部，在面部情感的两个特征上有所不同。每个实验都采用相同的扩展因子设计，5个水平的额头偏斜与5个水平的嘴偏斜交叉，以及相应的半脸条件，总共35张脸的刺激集。实验1使用了两种选择的强迫选择范式（快乐或愤怒），而实验2使用了从快乐到愤怒的9个评级步骤。结果表明，参与者评估和整合来自这两个特征的信息来感知情感表达。选择概率和评分都表明，一个特征的影响更大，以至于另一个特征是模糊的。FLMP对两个实验的拟合结果明显优于加性模型。我们的研究结果质疑了先前关于情感的分类和整体感知的说法。
The paradigm of the fuzzy logical model of perception (FLMP) is extended to the domain of perception and recognition of facial affect. Two experiments were performed using a highly realistic computer-generated face varying on 2 features of facial affect. Each experiment used the same expanded factorial design, with 5 levels of brow deflection crossed with 5 levels of mouth deflection, as well as their corresponding half-face conditions, for a total stimulus set of 35 faces. Experiment 1 used a 2-alternative, forced-choice paradigm (either happy or angry), whereas Experiment 2 used 9 rating steps from happy to angry. Results indicate that participants evaluated and integrated information from both features to perceive affective expressions. Both choice probabilities and ratings showed that the influence of 1 feature was greater to the extent that the other feature was ambiguous. The FLMP fit the judgments from both experiments significantly better than an additive model. Our results question previous claims of categorical and holistic perception of affect.