Bandyopadhyay Alapan, Samanta Sampriti, Mukherjee Abhijit
Department of Community Medicine, North Bengal Medical College, Sushrutanagar, Darjeeling. North Bengal Medical College Sushrutanagar Darjeeling.
Community Medicine, Nil Ratan Sircar Medical College, Kolkata. Nil Ratan Sircar Medical College Kolkata.
Int J Psychol Res (Medellin). 2023 Oct 10;16(2):24-30. doi: 10.21500/20112084.6047. eCollection 2023 Jul-Dec.
Identification of emotional facial expressions (EFEs) is important in interpersonal communication. Six 'universal' EFEs are known, though accuracy of their identification varies. EFEs involve anatomical changes in certain regions of the face, especially eyes and mouth. But whether other areas of the face are just as important in their identification is still debated. This study was conducted to compare the accuracy of identification of universal EFEs under full-face and partial face conditions (only showing the eyes and the mouth regions).
An analytical cross-sectional study was conducted among 140 young Indian adults. They were divided into two equal groups and shown the six universal EFEs in two sets, one with full-face images, and the other with images showing just the eyes and the mouth regions on a computer screen. The participants were asked to identify each of the EFE and their responses were analyzed.
Mean age was 21.3 1.7 years for full face group, and 21.2 1.6 years for the partial face group. Most were men, from rural areas and from upper socioeconomic status families, and many of them were students. EFE identification was significantly higher for part-face group compared to full-face group (-value .0007). Participants of both groups identified happiness the best (100%). For other EFEs, part-face images were identified more accurately than full-face images, except for disgust. These differences were statistically significant except for anger and fear.
Among young Indian adults, accuracy of identification of universal EFEs was high, which was significantly enhanced for all except disgust, when only combinations of eyes and mouth were shown, suggesting that other facial regions serve as distractors in EFE identification.
在人际交流中,识别面部表情很重要。虽然已知六种“通用”面部表情,但对其识别的准确性各不相同。面部表情涉及面部某些区域(尤其是眼睛和嘴巴)的解剖学变化。但面部的其他区域在表情识别中是否同样重要仍存在争议。本研究旨在比较在全脸和部分面部(仅显示眼睛和嘴巴区域)条件下识别通用面部表情的准确性。
对140名印度年轻成年人进行了一项分析性横断面研究。他们被分成两组,在电脑屏幕上以两组展示六种通用面部表情,一组是全脸图像,另一组是仅显示眼睛和嘴巴区域的图像。要求参与者识别每种面部表情,并分析他们的反应。
全脸组平均年龄为21.3±1.7岁,部分面部组平均年龄为21.2±1.6岁。大多数是男性,来自农村地区和社会经济地位较高的家庭,其中许多是学生。与全脸组相比,部分面部组的面部表情识别率显著更高(p值0.0007)。两组参与者对快乐的识别率最高(100%)。对于其他面部表情,除了厌恶之外,部分面部图像比全脸图像识别得更准确。除了愤怒和恐惧之外,这些差异具有统计学意义。
在印度年轻成年人中,通用面部表情的识别准确率很高,当仅显示眼睛和嘴巴的组合时,除了厌恶之外,所有表情的识别准确率都显著提高,这表明面部的其他区域在面部表情识别中起到干扰作用。