Predicting Individuals’ Experienced Fear From Multimodal Physiological Responses to a Fear-Inducing Stimulus

刺激(心理学) 心理学 认知心理学 恐惧条件反射 神经科学 扁桃形结构
作者
Eun-Hye Jang,Sangwon Byun,Mi-Sook Park,Jin‐Hun Sohn
出处
期刊:Advances in Cognitive Psychology [Vizja Press & IT]
卷期号:16 (4): 291-301 被引量:4
标识
DOI:10.5709/acp-0303-x
摘要

fear intensity experienced emotion physiological signals autonomic responsesEmotions are experienced differently by individuals, and thus, it is important to account for individuals' experienced emotions to understand their physiological responses to emotional stimuli.The present study investigated the physiological responses to a fear-inducing stimulus and examined whether these responses can predict experienced fear.A total of 230 participants were presented with neutral and fear-inducing film clips, after which they self-rated their experienced emotions.Physiological measures (skin conductance level and response: SCL, SCR, heart rate: HR, pulse transit time: PTT, fingertip temperature: FT, and respiratory rate: RR) were recorded during the stimuli presentation.We examined the correlations between the physiological measures and the participants' experienced emotional intensity, and performed a multiple linear regression to predict fear intensity based on the physiological responses.Of the participants, 92.5% experienced the fear emotion, and the average intensity was 5.95 on a 7-point Likert scale.Compared to the neutral condition, the SCL, SCR, HR, and RR increased significantly during the fear-inducing stimulus presentation whereas FT and PTT decreased significantly.Fear intensity correlated positively with SCR and HR and negatively with SCL, FT, PTT, and RR.The multiple linear regression demonstrated that fear intensity was predicted by a combination of SCL, SCR, HR, FT, and RR.Our findings indicate that the physiological responses to experiencing fear are associated with cholinergic, sympathetic, and α-adrenergic vascular activation as well as myocardial β-sympathetic excitation, and support the use of multimodal physiological signals for quantifying emotions.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
jintian完成签到 ,获得积分10
3秒前
胡杨树2006完成签到,获得积分10
12秒前
量子星尘发布了新的文献求助10
18秒前
坦率雪枫完成签到 ,获得积分10
21秒前
24秒前
嗯嗯完成签到 ,获得积分10
26秒前
28秒前
23333完成签到,获得积分10
28秒前
xxl3发布了新的文献求助10
30秒前
123完成签到 ,获得积分10
34秒前
风笛完成签到 ,获得积分10
40秒前
jason完成签到 ,获得积分10
42秒前
laber完成签到,获得积分0
44秒前
张来完成签到 ,获得积分10
46秒前
每天都要开心完成签到 ,获得积分10
51秒前
刘菠萝完成签到 ,获得积分10
53秒前
NexusExplorer应助zzt采纳,获得10
1分钟前
王海海完成签到 ,获得积分10
1分钟前
wonwojo完成签到 ,获得积分10
1分钟前
量子星尘发布了新的文献求助50
1分钟前
SciGPT应助xxl3采纳,获得10
1分钟前
Lrcx完成签到 ,获得积分10
1分钟前
QAQSS完成签到 ,获得积分10
1分钟前
星辰大海应助科研通管家采纳,获得10
1分钟前
科研通AI5应助科研通管家采纳,获得10
1分钟前
CJW完成签到 ,获得积分10
1分钟前
RYYYYYYY233完成签到 ,获得积分10
1分钟前
耕牛热完成签到,获得积分10
1分钟前
大团长完成签到,获得积分10
1分钟前
追寻夏烟完成签到 ,获得积分10
1分钟前
微笑代荷完成签到 ,获得积分10
1分钟前
好运来发布了新的文献求助10
1分钟前
汶南完成签到 ,获得积分10
1分钟前
lucky完成签到 ,获得积分10
1分钟前
朴素海亦完成签到 ,获得积分10
1分钟前
mengmenglv完成签到 ,获得积分0
2分钟前
荷戟执子手完成签到,获得积分10
2分钟前
量子星尘发布了新的文献求助10
2分钟前
2分钟前
奥丁不言语完成签到 ,获得积分10
2分钟前
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
Zeolites: From Fundamentals to Emerging Applications 1500
Architectural Corrosion and Critical Infrastructure 1000
Early Devonian echinoderms from Victoria (Rhombifera, Blastoidea and Ophiocistioidea) 1000
Hidden Generalizations Phonological Opacity in Optimality Theory 1000
2026国自然单细胞多组学大红书申报宝典 800
Real Analysis Theory of Measure and Integration 3rd Edition 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 4910669
求助须知:如何正确求助?哪些是违规求助? 4186400
关于积分的说明 12999449
捐赠科研通 3953919
什么是DOI,文献DOI怎么找? 2168175
邀请新用户注册赠送积分活动 1186604
关于科研通互助平台的介绍 1093837