William James Center for Research (WJCR), Department of Education and Psychology, University of Aveiro, Campus Universitário de Santiago, 3810-193, Aveiro, Portugal.
Center for Health Technology and Services Research (CINTESIS), Department of Education and Psychology, University of Aveiro, Campus Universitário de Santiago, 3810-193, Aveiro, Portugal.
Psychol Res. 2023 Feb;87(1):108-123. doi: 10.1007/s00426-022-01648-0. Epub 2022 Feb 3.
Facial emotional expressions are pivotal for social communication. Their fast and accurate recognition is crucial to promote adaptive responses to social demands, for the development of functional relationships, and for well-being. However, the literature has been inconsistent in showing differentiated recognition patterns for positive vs. negative facial expressions (e.g., happy and angry expressions, respectively), likely due to affective and perceptual factors. Accordingly, the present study explored differences in recognition performance between angry and happy faces, while specifically assessing the role of emotional intensity and global/regional low-level visual features. 98 participants categorized angry and happy faces morphed between neutral and emotional across 9 levels of expression intensity (10-90%). We observed a significantly higher recognition efficiency (higher accuracy and shorter response latencies) for angry compared to happy faces in lower levels of expression intensity, suggesting that our cognitive resources are biased to prioritize the recognition of potentially harmful stimuli, especially when briefly presented at an ambiguous stage of expression. Conversely, an advantage for happy faces was observed from the midpoint of expression intensity, regarding response speed. However, when compensating for the contribution of regional low-level properties of distinct facial key regions, the effect of emotion was maintained only for response accuracy. Altogether, these results shed new light on the processing of facial emotional stimuli, emphasizing the need to consider emotional intensity and regional low-level image properties in emotion recognition analysis.
面部情绪表达对于社会交流至关重要。快速准确地识别它们对于促进对社会需求的适应性反应、发展功能性关系和幸福感至关重要。然而,文献在展示积极与消极面部表情(例如,快乐和愤怒表情)的差异化识别模式方面一直不一致,这可能是由于情感和感知因素的影响。因此,本研究探讨了在识别愤怒和快乐面孔时表现出的差异,同时特别评估了情绪强度和全局/区域低水平视觉特征的作用。98 名参与者对中性和情绪之间的愤怒和快乐面孔进行了分类,这些面孔在 9 个表情强度级别(10-90%)上进行了变形。我们观察到,在较低的表情强度水平下,愤怒面孔的识别效率(更高的准确性和更短的反应时)明显高于快乐面孔,这表明我们的认知资源偏向于优先识别潜在的有害刺激,尤其是在表情表达的模糊阶段。相反,从中点开始,即表情强度的中间点,快乐面孔在反应速度方面表现出优势。然而,当补偿不同面部关键区域的区域低水平属性的贡献时,情绪的影响仅在反应准确性方面得以维持。总的来说,这些结果为面部情绪刺激的处理提供了新的视角,强调了在情绪识别分析中需要考虑情绪强度和区域低水平图像属性。