Kihara Ken, Takeda Yuji
Automotive Human Factors Research Center, National Institute of Advanced Industrial, Science and Technology (AIST), Tsukuba, Japan.
Front Psychol. 2019 Jun 26;10:1468. doi: 10.3389/fpsyg.2019.01468. eCollection 2019.
Interpreting another's true emotion is important for social communication, even in the face of deceptive facial cues. Because spatial frequency components provide important clues for recognizing facial expressions, we investigated how we use spatial frequency information from deceptive faces to interpret true emotion. We conducted two different tasks: a face-generating experiment in which participants were asked to generate deceptive and genuine faces by tuning the intensity of happy and angry expressions (Experiment 1) and a face-classification task in which participants had to classify presented faces as either deceptive or genuine (Experiment 2). Low- and high-spatial frequency (LSF and HSF) components were varied independently. The results showed that deceptive happiness (i.e., anger is the hidden expression) involved different intensities for LSF and HSF. These results suggest that we can identify hidden anger by perceiving unbalanced intensities of emotional expression between LSF and HSF information contained in deceptive faces.
即便面对具有欺骗性的面部线索，解读他人的真实情感对于社交沟通而言依然十分重要。由于空间频率成分能为识别面部表情提供重要线索，我们研究了如何利用来自具有欺骗性面孔的空间频率信息来解读真实情感。我们开展了两项不同的任务：一项面部生成实验，要求参与者通过调整开心和愤怒表情的强度来生成具有欺骗性和真实的面孔（实验1）；以及一项面部分类任务，参与者必须将呈现的面孔分类为具有欺骗性或真实的（实验2）。低空间频率和高空间频率（LSF和HSF）成分被独立改变。结果表明，欺骗性的开心表情（即隐藏的表情是愤怒）涉及不同强度的低空间频率和高空间频率。这些结果表明，我们可以通过感知欺骗性面孔中包含的低空间频率和高空间频率信息之间情感表达强度的不平衡来识别隐藏的愤怒。
