Suppr超能文献

心理意象与气候变化相关风险的情感知觉之间存在因果关系。

A causal link between mental imagery and affect-laden perception of climate change related risks.

机构信息

Department of Behavioural Sciences and Learning, JEDI-Lab, Linköping University, House I:3, Campus Valla, 581 83, Linköping, Sweden.

Decision Research Eugene, Oregon, USA.

出版信息

Sci Rep. 2023 Jun 21;13(1):10081. doi: 10.1038/s41598-023-37195-w.

Abstract

Previous studies have shed light on the importance of affect in risk perception and the role of mental imagery in generating affect. In the current study, we explore the causal relationship between mental imagery, affect, and risk perception by systematically varying the level of mental imagery in three levels (i.e., enhanced, spontaneous, or prevented). In light of the increasing environmental risk of adverse events caused by climate change, we operationalize risk as participants' perceived risk of climate change. One-thousand-fifty-five participants were recruited online and randomized to one of three levels of mental imagery. As predicted, we found a causal link between the level of mental imagery, affective experience, and perceived risk of climate change, in that enhanced mental imagery caused a larger decrease in positive affective valence and a larger increase in perceived risk of climate change. We argue that mental imagery enhances the negative affect associated with the risk event by creating a perceptual experience that mimics seeing the environmental risk events.

摘要

先前的研究已经揭示了情感在风险感知中的重要性,以及心理意象在产生情感中的作用。在本研究中,我们通过系统地改变三种水平(即增强、自发或阻止)的心理意象水平来探索心理意象、情感和风险感知之间的因果关系。鉴于气候变化引起的环境不良事件风险不断增加,我们将风险定义为参与者对气候变化的感知风险。我们在线招募了 1055 名参与者,并将他们随机分配到心理意象的三个水平之一。正如预测的那样,我们发现心理意象水平、情感体验和气候变化感知风险之间存在因果关系,即增强的心理意象会导致积极情感效价的更大下降和气候变化感知风险的更大增加。我们认为,心理意象通过创造一种模拟看到环境风险事件的感知体验,增强了与风险事件相关的负面情感。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41d1/10284903/7f221659a758/41598_2023_37195_Fig1_HTML.jpg

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