Gillioz Christelle, Nicolet-Dit-Félix Maroussia, Wilhelm Oliver, Fiori Marina
Research and Development, Swiss Federal University for Vocational Education and Training, Renens, Switzerland.
Department of Individual Differences and Psychological Assessment, Ulm University, Ulm, Germany.
Front Psychol. 2023 Feb 3;14:1085971. doi: 10.3389/fpsyg.2023.1085971. eCollection 2023.
Emotion information processing (EI) has been recently introduced as a new component of emotional intelligence. We present a task aiming at measuring a type of emotion information processing related to fine-grained discrimination of emotional expressions. We modified an existing task presenting morphed faces created from a blend of two prototypical emotional expressions. Participants' ( = 154) ability-EI, in particular emotion recognition, understanding and management, as well as intelligence were evaluated. Results show that all facets of EI independently predicted accuracy in the discrimination task and that emotion recognition was the strongest predictor. When controlling for emotion recognition level, we found that emotion understanding still predicted accuracy for less difficult stimuli. Results support the idea that individuals high in EI have higher emotion processing skills at the emotion perception stage of information processing and suggest that the task employed in the current study might measure more spontaneous processing of emotional expressions. Implications regarding the use of the current task as a new measure of the EI component are discussed.
情绪信息处理（EI）最近被引入作为情商的一个新组成部分。我们提出了一项任务，旨在测量一种与情感表达的细粒度辨别相关的情绪信息处理类型。我们修改了一个现有的任务，该任务呈现由两种典型情感表达混合而成的变形面孔。评估了参与者（=154）的能力——情商，特别是情绪识别、理解和管理能力，以及智力。结果表明，情商的所有方面都独立预测了辨别任务中的准确性，并且情绪识别是最强的预测因素。在控制情绪识别水平后，我们发现情绪理解仍然可以预测较简单刺激的准确性。结果支持了这样一种观点，即情商高的个体在信息处理的情绪感知阶段具有更高的情绪处理技能，并表明本研究中使用的任务可能测量了更自发的情感表达处理。讨论了将当前任务用作情商组成部分新测量方法的相关意义。
