Micro-expression is an extremely quick and uncontrollable facial movement that lasts for 40–200 ms and reveals thoughts and feelings that an individual attempts to cover up. Though much more difficult to detect and recognize, ME recognition is similar to macro-expression recognition in that it is influenced by facial features. Previous studies suggested that facial attractiveness could influence facial expression recognition processing. However, it remains unclear whether facial attractiveness could also influence ME recognition. Addressing this issue, this study tested 38 participants (...) with two ME recognition tasks in a static condition or dynamically. Three different MEs at two attractiveness levels. The results showed that participants recognized MEs on attractive faces much quicker than on unattractive ones, and there was a significant interaction between ME and facial attractiveness. Furthermore, attractive happy faces were recognized faster in both the static and the dynamic conditions, highlighting the happiness superiority effect. Therefore, our results provided the first evidence that facial attractiveness could influence ME recognition in a static condition or dynamically. (shrink)

With regard to facial emotion recognition, previous studies found that specific facial regions were attended more in order to identify certain emotions. We investigated whether a preferential search for emotion-specific diagnostic regions could contribute toward the accurate recognition of facial emotions. Twenty-three neurotypical adults performed an emotion recognition task using six basic emotions: anger, disgust, fear, happiness, sadness, and surprise. The participants’ exploration patterns for the faces were measured using the Moving Window Technique (MWT). This technique presented a small window (...) on a blurred face, and the participants explored the face stimuli through a mouse-controlled window in order to recognize the emotions on the face. Our results revealed that when the participants explored the diagnostic regions for each emotion more frequently, the correct recognition of the emotions occurred at a faster rate. To the best of our knowledge, this current study is the first to present evidence that an exploration of emotion-specific diagnostic regions can predict the reaction time of accurate emotion recognition among neurotypical adults. Such findings can be further applied in the evaluation and/or training (regarding emotion recognition functions) of both typically and atypically developing children with emotion recognition difficulties. (shrink)

Emoji appear to be an important cue to judge whether a statement is sarcastic in computer-mediated communication. In this study, we investigated whether the smiling emoji, an indicator of sarcastic intention in the Chinese culture, exerts an influence on sarcasm interpretation across the lifespan. Statements accompanied with or without a smiling emoji were compared in unambiguous (Experiment 1) and ambiguous (Experiment 2) contexts. The results of Experiment 1 illustrated that for teenagers and the 20-year-olds the smiling emoji enhanced the perceived (...) sarcasm of sarcastic statements significantly. However, there was no difference in interpreting sarcastic statements with or without a smiling emoji in other age groups. Experiment 2 replicated the results of Experiment 1. We found both teenagers and the 20-year-olds were more likely to arrive at a sarcastic interpretation of the ambiguous statement followed by a smiling emoji, which were less frequent in participants aged in their 30s, 40s, 50s and individuals over 60 years old. This might be because people of varying ages differ in decoding the emotions of the emoji. Age-related differences in the use of sarcasm and participants’ experiences with using emoji might be possible factors that were closely related to the interpretation of emoji-based sarcasm. (shrink)