Department of Psychology, University of North Carolina at Greensboro, Greensboro, NC, USA.
Indiana University Bloomington, Bloomington, IN, USA.
Cogn Emot. 2021 Dec;35(8):1618-1625. doi: 10.1080/02699931.2021.1979474. Epub 2021 Sep 20.
Research on spatial frequency contributions to facial emotion identification has largely focused on basic emotions. The present experiment characterised spatial frequency contributions to decoding complex emotions, which can be less visible and intense than basic emotions. We investigated the effects of spatial frequency, expression valence and perceptually available features (full face or eyes only) on decoding accuracy. We observed main effects of all factors, with better performance for high (relative to low) spatial frequency, for positive (relative to negative) emotions and for full face (relative to eyes only) conditions. We also observed an interaction of all factors. The high spatial frequency advantage in decoding accuracy was eliminated only for full faces expressing more positive complex emotions. These findings suggest advantages from high spatial frequency content in accurately decoding complex emotions may attenuate when positive complex emotions are decoded from the spatial frequency content of a broader constellation of features.
对面部情绪识别的空间频率贡献的研究主要集中在基本情绪上。本实验描述了空间频率对解码复杂情绪的贡献,复杂情绪可能不如基本情绪明显和强烈。我们研究了空间频率、表情效价和可感知特征(全脸或仅眼睛)对解码准确性的影响。我们观察到所有因素的主效应,高空间频率(相对于低空间频率)、正性情绪(相对于负性情绪)和全脸条件(相对于仅眼睛条件)下的表现更好。我们还观察到所有因素的相互作用。只有在全脸表达更积极的复杂情绪时,高空间频率在解码准确性上的优势才会消失。这些发现表明,在从更广泛的特征组合的空间频率内容中解码积极的复杂情绪时,从高空间频率内容中准确解码复杂情绪的优势可能会减弱。