Emotion regulation strategy use and forecasting in response to dynamic, multimodal stimuli

认知心理学 计算机科学 心理学
作者
William John Mitchell,Joanne Stasiak,Stevent A Martinez,Katelyn G. Cliver,David F. Gregory,Samantha Reisman,Helen Schmidt,Vishnu P. Murty,Chelsea Helion
标识
DOI:10.31234/osf.io/23wtz
摘要

Successful emotion regulation (ER) requires effective strategy selection. Research suggests that disengagement strategies (e.g., distraction) are more often selected than engagement strategies (e.g., reappraisal) as emotional experiences intensify. However, the extent to which ER strategy choice in controlled circumstances reflects strategy usage during complex, multimodal events is not well understood. The present research uses dynamic, multimodal stimuli (i.e., a haunted house, horror movies) to examine the association between affective intensity and regulatory strategy usage among untrained participants – individuals given no prior regulation instructions or direction. Both a preliminary study (n = 54) and Study 1 (n = 118) failed to find relationships between emotional intensity and strategy usage to downregulate emotions as participants navigated a haunted house. Distraction was self-reported to be less successful than reappraisal at high intensities, contrary to expectations. Participants in Study 2 (n = 152) forecasted regulation strategy usage based upon descriptions of emotionallyregulated experiences from the preliminary haunted house study. Affective intensity predicted which strategies forecasters predicted they would use; though, forecasters overpredicted how often distraction was used in practice. Study 3 (n = 242) incorporated strategy usage and forecasting within the same design by showing untrained participants video stimuli of varying-intensity and capturing their regulatory responses. Forecasters again predicted using distraction more often than strategy users did in practice. Forecasters also overpredicted how effectively distraction reduced negative affective intensity relative to what strategy users reported. These results may highlight a disconnect between strategy fittedness when self-regulation occurs in uncontrolled, highlyintense, or complex circumstances.
最长约 10秒,即可获得该文献文件

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
科研通AI6.4的应助被东冉采纳,获得10
2秒前
顾旻完成签到,获得积分10
2秒前
Orange的应助被yuyufish采纳,获得10
3秒前
Hello的应助被王某采纳,获得10
3秒前
淼淼完成签到 ,获得积分10
3秒前
5秒前
6秒前
6秒前
7秒前
今后的应助被chcmuer采纳,获得10
8秒前
平常的豌豆完成签到,获得积分10
11秒前
grassland发布了新的文献求助10
12秒前
不器发布了新的文献求助10
13秒前
wuyongxiang发布了新的文献求助10
13秒前
Sugar完成签到,获得积分10
15秒前
15秒前
ty完成签到 ,获得积分10
16秒前
无花果的应助被SYX采纳,获得10
17秒前
17秒前
18秒前
78888发布了新的文献求助10
20秒前
万丈光芒发布了新的文献求助10
20秒前
21秒前
luojia发布了新的文献求助10
21秒前
21秒前
小姚姚发布了新的文献求助50
23秒前
Orange的应助被Tonald Yang采纳,获得10
24秒前
93zzZ完成签到,获得积分10
24秒前
yuyufish发布了新的文献求助10
26秒前
26秒前
26秒前
27秒前
结实的红酒完成签到,获得积分10
28秒前
安静板栗发布了新的文献求助10
28秒前
ZMTW发布了新的文献求助30
33秒前
LJT发布了新的文献求助10
33秒前
35秒前
soapffz完成签到,获得积分0
38秒前
颜雨蘅发布了新的文献求助10
38秒前
111发布了新的文献求助10
42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
Rosenblum, Global Change Biology 800
自動車の空力技術 800
Organizational Behavior 510
Management and the Arts 510
Issues in Task-Based Language Teaching 500
Wafer Surface Defect 420
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7784319
求助须知:如何正确求助?哪些是违规求助? 9323644
关于积分的说明 20394846
捐赠科研通 7373064
什么是DOI,文献DOI怎么找? 3320990
关于科研通互助平台的介绍 2468974
邀请新用户注册赠送积分活动 2337253