Department of Psychology, University of Almería, Ctra Sacramento S/N, La Cañada de San Urbano, CP: 04120, Almería, Spain.
CEINSA Health Research Centre, University of Almería, Almería, Spain.
Sci Rep. 2024 Jan 28;14(1):2322. doi: 10.1038/s41598-024-52893-9.
Emotional facial expression recognition is a key ability for adequate social functioning. The current study aims to test if the differential outcomes procedure (DOP) may improve the recognition of dynamic facial expressions of emotions and to further explore whether schizotypal personality traits may have any effect on performance. 183 undergraduate students completed a task where a face morphed from a neutral expression to one of the six basic emotions at full intensity over 10 s. Participants had to press spacebar as soon as they identified the emotion and choose which had appeared. In the first block, participants received no outcomes. In the second block, a group received specific outcomes associated to each emotion (DOP group), while another group received non-differential outcomes after correctly responding (NOP group). Employing generalized linear models (GLMs) and Bayesian inference we estimated different parameters to answer our research goals. Schizotypal personality traits did not seem to affect dynamic emotional facial expression recognition. Participants of the DOP group were less likely to respond incorrectly to faces showing Fear and Surprise at fewer intensity levels. This may suggest that the DOP could lead to better identification of the main features that differentiate each facial expression of emotion.
情绪面部表情识别是适当社交功能的关键能力。本研究旨在测试差异结果程序 (DOP) 是否可以改善对情绪的动态面部表情的识别，并进一步探讨分裂型人格特质是否对表现有任何影响。183 名大学生完成了一项任务，其中一张脸在 10 秒内从中性表情完全变成六种基本表情之一。参与者必须在识别出情绪后立即按空格键，并选择出现的情绪。在第一块中，参与者没有获得任何结果。在第二块中，一组参与者收到与每种情绪相关的特定结果（DOP 组），而另一组在正确反应后收到非差异结果（NOP 组）。我们采用广义线性模型 (GLM) 和贝叶斯推断来估计不同的参数来回答我们的研究目标。分裂型人格特质似乎不会影响对动态情绪面部表情的识别。DOP 组的参与者在更少的强度水平上不太可能对显示恐惧和惊讶的面孔做出错误反应。这可能表明 DOP 可以导致更好地识别区分每种情绪面部表情的主要特征。
