Herpertz Julian, Taylor Jacob, Allen John J B, Herpertz Stephan, Opel Nils, Richter Maike, Subic-Wrana Claudia, Dieris-Hirche Jan, Lane Richard D
Institute for Translational Psychiatry, University of Münster, Münster, Germany.
David A. Dunlap Department of Astronomy and Astrophysics, University of Toronto, Toronto, ON, Canada.
Front Psychiatry. 2023 Mar 23;14:1129755. doi: 10.3389/fpsyt.2023.1129755. eCollection 2023.
Emotional awareness is the ability to identify, interpret, and verbalize the emotional responses of oneself and those of others. The Levels of Emotional Awareness Scale (LEAS) is an objective performance inventory that accurately measures an individual's emotional awareness. LEAS assessments are typically scored manually and are therefore both time consuming and cognitively demanding. This study presents a German electronic scoring program for the LEAS (geLEAS), the first non-English computerized assessment approach of the LEAS.
Data were collected from a healthy German community sample ( = 208). We developed a modern software for computerizing LEAS scoring, an open-source text-based emotion assessment tool called VETA (Verbal Emotion in Text Assessment). We investigated if the software would arrive at similar results as hand scoring in German and if emotional awareness would show similar associations to sociodemographic information and psychometric test results as in previous studies.
The most frequently used scoring method of the geLEAS shows excellent internal consistency (α = 0.94) and high correlations with hand scoring ( = 0.97, < 0.001). Higher emotional awareness measured by the geLEAS is associated with female gender, older age, and higher academic achievement (all < 0.001). Moreover, it is linked to the ability to identify emotions in facial expressions ( < 0.001) and more accurate theory of mind functioning ( < 0.001).
An automated method for evaluating emotional awareness greatly expands the ability to study emotional awareness in clinical care and research. This study aims to advance the use of emotional awareness as a clinical and scientific parameter.
情绪意识是识别、解释并清晰表达自己及他人情绪反应的能力。情绪意识水平量表(LEAS)是一种客观的表现性量表,可准确测量个体的情绪意识。LEAS评估通常采用人工计分,既耗时又对认知能力有较高要求。本研究展示了一种用于LEAS的德语电子计分程序(geLEAS),这是LEAS首个非英语的计算机化评估方法。
数据收集自一个健康的德国社区样本( = 208)。我们开发了一款用于LEAS计分计算机化的现代软件,这是一个名为VETA(文本中的言语情绪评估)的基于文本的开源情绪评估工具。我们调查了该软件得出的结果是否与德语人工计分相似,以及情绪意识与社会人口统计学信息和心理测量测试结果的关联是否与以往研究相似。
geLEAS最常用的计分方法显示出极佳的内部一致性(α = 0.94),且与人工计分高度相关( = 0.97, < 0.001)。geLEAS测量的较高情绪意识与女性、年长和较高的学业成绩相关(均 < 0.001)。此外,它还与识别面部表情中的情绪的能力( < 0.001)以及更准确的心理理论功能( < 0.001)相关。
一种评估情绪意识的自动化方法极大地扩展了在临床护理和研究中研究情绪意识的能力。本研究旨在推动将情绪意识用作临床和科学参数。