Suppr超能文献

情感语言在识别和干预精神病理学方面的前景。

The Promise of Affective Language for Identifying and Intervening on Psychopathology.

作者信息

Nook Erik C

机构信息

Department of Psychology, Princeton University, Peretsman Scully Hall, Washington Rd, Princeton, NJ 08540 USA.

出版信息

Affect Sci. 2023 Aug 2;4(3):517-521. doi: 10.1007/s42761-023-00199-w. eCollection 2023 Sep.

Abstract

We are in dire need of innovative tools for reducing the global burden of psychopathology. Emerging evidence suggests that analyzing language (i.e., the words people use) can grant insight into an individual's emotional experiences, their ability to regulate their emotions, and even their current experiences of psychopathology. As such, linguistic analyses of people's everyday word use may be a diagnostic marker of emotional well-being, and manipulating the words people use could foster adaptive emotion regulation and mental health. Given the ubiquity of language in everyday life, such language-based tools for measuring and intervening in emotion and mental health can advance how we identify and treat mental illnesses at a large scale. In this paper, I outline the promise of this approach and identify key problems we must solve if we are to make it a reality. In particular, I summarize evidence connecting language, emotion, and mental health for three key constructs: sentiment (i.e., the valence of one's language), linguistic distancing (i.e., using language to separate oneself from distressing stimuli), and emotion differentiation (i.e., using words to specifically identify one's emotions). I also identify open questions in need of attention for each of these constructs and this area of research as a whole. Overall, I believe the future is bright for the application of psycholinguistic approaches to mental health detection and intervention.

摘要

我们迫切需要创新工具来减轻全球精神病理学负担。新出现的证据表明,分析语言(即人们使用的词汇)可以洞察个体的情绪体验、调节情绪的能力,甚至他们当前的精神病理学体验。因此,对人们日常词汇使用的语言分析可能是情绪健康的诊断标志,而操纵人们使用的词汇可以促进适应性情绪调节和心理健康。鉴于语言在日常生活中的普遍性,这种基于语言的测量和干预情绪及心理健康的工具可以推动我们大规模识别和治疗精神疾病的方式。在本文中,我概述了这种方法的前景,并指出如果要将其变为现实我们必须解决的关键问题。特别是,我总结了将语言、情绪和心理健康联系起来的三个关键构念的证据:情感(即一个人语言的效价)、语言距离(即使用语言将自己与痛苦刺激分开)和情绪分化(即使用词汇具体识别自己的情绪)。我还指出了这些构念以及整个该研究领域需要关注的开放性问题。总体而言,我相信心理语言学方法在心理健康检测和干预中的应用前景光明。

相似文献

2
A linguistic signature of psychological distancing in emotion regulation.情绪调节中心理距离的语言特征。
J Exp Psychol Gen. 2017 Mar;146(3):337-346. doi: 10.1037/xge0000263. Epub 2017 Jan 23.

引用本文的文献

7
Language sentiment predicts changes in depressive symptoms.语言情绪可预测抑郁症状的变化。
Proc Natl Acad Sci U S A. 2024 Sep 24;121(39):e2321321121. doi: 10.1073/pnas.2321321121. Epub 2024 Sep 16.
8
The Future of Affective Science: Introduction to the Special Issue.情感科学的未来:特刊引言
Affect Sci. 2023 Sep 12;4(3):429-442. doi: 10.1007/s42761-023-00220-2. eCollection 2023 Sep.

本文引用的文献

1
GPT is an effective tool for multilingual psychological text analysis.GPT 是一种用于多语言心理文本分析的有效工具。
Proc Natl Acad Sci U S A. 2024 Aug 20;121(34):e2308950121. doi: 10.1073/pnas.2308950121. Epub 2024 Aug 12.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验