Fujimura Tomomi, Suzuki Naoto
Department of Psychology, Graduate School of Letters, Doshisha University, Imadegawa Karasuma Higashi-iru, Kamigyo-ku, Kyoto 602-8580, Japan.
Perception. 2010;39(4):543-52. doi: 10.1068/p6257.
We investigated the effects of dynamic information on decoding facial expressions. A dynamic face entailed a change from a neutral to a full-blown expression, whereas a static face included only the full-blown expression. Sixty-eight participants were divided into two groups, the dynamic condition and the static condition. The facial stimuli expressed eight kinds of emotions (excited, happy, calm, sleepy, sad, angry, fearful, and surprised) according to a dimensional perspective. Participants evaluated each facial stimulus using two methods, the Affect Grid (Russell et al, 1989 Personality and Social Psychology 29 497-510) and the forced-choice task, allowing for dimensional and categorical judgment interpretations. For activation ratings in dimensional judgments, the results indicated that dynamic calm faces, low-activation expressions were rated as less activated than static faces. For categorical judgments, dynamic excited, happy, and fearful faces, which are high- and middle-activation expressions, had higher ratings than did those under the static condition. These results suggest that the beneficial effect of dynamic information depends on the emotional properties of facial expressions.
我们研究了动态信息对解码面部表情的影响。动态面部是指从无表情转变为完全展现的表情，而静态面部仅包含完全展现的表情。68名参与者被分为两组，即动态条件组和静态条件组。面部刺激根据维度视角表达八种情绪（兴奋、高兴、平静、困倦、悲伤、愤怒、恐惧和惊讶）。参与者使用两种方法评估每个面部刺激，即情感量表（拉塞尔等人，1989年《人格与社会心理学》第29卷第497 - 510页）和强制选择任务，从而进行维度和类别判断解释。对于维度判断中的激活评分，结果表明动态平静面部（低激活表情）的评分低于静态面部。对于类别判断，动态兴奋、高兴和恐惧面部（高激活和中等激活表情）的评分高于静态条件下的评分。这些结果表明动态信息的有益效果取决于面部表情的情感属性。
