Cognitive appraisal contributes to feeling generation through emotional evidence accumulation rate: Evidence from instructed fictional reappraisal.

感觉 心理学 认知评价 心理信息 操作化 认知 表达抑制 社会心理学 认知心理学 发展心理学 认知再评价 认识论 梅德林 哲学 神经科学 法学 政治学
作者
Ella Singer-Landau,Nachshon Meiran
出处
期刊:Emotion [American Psychological Association]
卷期号:21 (7): 1366-1378 被引量:5
标识
DOI:10.1037/emo0001006
摘要

How do (reportable) emotional feelings come to be? Following William James and many others, Givon et al. (2020) described the generation of feelings as evidence accumulation toward a boundary. In this work, we began clarifying the nature of "evidence". In two preregistered experiments, participants were presented with normed emotion-evoking negative/positive pictures that were described as reflecting either authentic or fictitious happenings ("fictional reappraisal"). In negative pictures (but contrary to our predictions, not in positive pictures), fictional reappraisal slowed feeling reports and reduced the rate of unpleasant feeling reports. An evidence accumulation model, the Hierarchical Linear Ballistic Accumulator model, was fit to the results from negative stimuli. This analysis indicated that fictional reappraisal selectively slowed the rate of evidence accumulation favoring (the normatively "correct") unpleasant feeling reports and speeded evidence accumulation favoring (the normatively "wrong") pleasant feeling reports. Fictional reappraisal did not change the response criterion, specifying the required amount of evidence for report. These results suggest that cognitive appraisals contribute to (and are a part of) emotional evidence, as operationalized in evidence accumulation models, and provide additional support for the usefulness of these models for the study of feeling reports. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
桐桐应助czy采纳,获得10
刚刚
刚刚
1秒前
齐老六发布了新的文献求助10
1秒前
Ava应助jhw采纳,获得10
2秒前
酱酱发布了新的文献求助20
2秒前
4秒前
1111111发布了新的文献求助10
4秒前
赘婿应助如意大熊猫采纳,获得10
5秒前
5秒前
6秒前
Firm完成签到,获得积分20
7秒前
7秒前
8秒前
8秒前
8秒前
迟健芳完成签到,获得积分20
8秒前
彩虹小马完成签到,获得积分10
9秒前
My发布了新的文献求助10
9秒前
wsx发布了新的文献求助10
9秒前
Iven发布了新的文献求助10
10秒前
10秒前
Claire完成签到,获得积分20
10秒前
10秒前
欣大王关注了科研通微信公众号
11秒前
guojia发布了新的文献求助10
13秒前
调皮钧完成签到 ,获得积分10
13秒前
1111111完成签到,获得积分20
13秒前
14秒前
14秒前
louis dai发布了新的文献求助10
14秒前
15秒前
jhw发布了新的文献求助10
15秒前
端庄的心情完成签到 ,获得积分10
15秒前
15秒前
深夜关注了科研通微信公众号
16秒前
科研通AI6.4应助11采纳,获得10
16秒前
17秒前
kassa完成签到 ,获得积分10
17秒前
1123发布了新的文献求助20
18秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
2016 Venous Blood Study (VBS) (Final V3.0) 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
核安全综合知识2024版 500
Photothermal Science and Techniques 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7704683
求助须知:如何正确求助?哪些是违规求助? 9262641
关于积分的说明 20038630
捐赠科研通 7280315
什么是DOI,文献DOI怎么找? 3295012
关于科研通互助平台的介绍 2450175
邀请新用户注册赠送积分活动 2301836