笑一笑,你上镜了:调查自拍微笑与苦恼之间的关系

Monika Lind, Michelle Byrne, S. Devine, Nicholas Allen
{"title":"笑一笑,你上镜了:调查自拍微笑与苦恼之间的关系","authors":"Monika Lind, Michelle Byrne, S. Devine, Nicholas Allen","doi":"10.36850/8716-5abe","DOIUrl":null,"url":null,"abstract":"Background: This study examined the relationship between (1) participant smiling in daily “selfie” videos and (2) self-reported distress. Given the extensive use of digital devices for sharing expressions of non-verbal behavior, and some speculation that these expressions may reveal psychological states—including emotional distress—we wanted to understand whether facial expression in these TikTok-like videos were correlated with standardized measures of psychological distress. Based on the work of Paul Ekman and others, which posits that facial expressions are universal reflections of people’s inner states, we predicted that smiling would be inversely related to psychological distress.\n\nMethod: Twenty-four undergraduate students, aged 18+ years (M = 18.35, SD = 2.75), were prompted to record a two-minute selfie video each evening during two weeks of data collection (i.e., 14 total days). They were instructed to describe various aspects of their day. They also completed self-report questionnaires at the end of each assessment week, including the Depression Anxiety Stress Scale (DASS), Perceived Stress Scale (PSS), and the Pittsburgh Sleep Quality Index (PSQI).\n\nResults: A counterintuitive effect was observed whereby smiling intensity during selfie videos was positively correlated with individual differences in anxiety, depression, and stress.\n\nDiscussion: This study challenges the common view that facial expressions necessarily reflect our inner emotions. It provides preliminary evidence that a mobile sensing app that captures selfies—along with other naturalistic data—may help elucidate the relationship between facial expressions and emotions.","PeriodicalId":471449,"journal":{"name":"Journal of trial and error","volume":"68 10","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Smile, You’re on Camera: Investigating the Relationship between Selfie Smiles and Distress\",\"authors\":\"Monika Lind, Michelle Byrne, S. Devine, Nicholas Allen\",\"doi\":\"10.36850/8716-5abe\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: This study examined the relationship between (1) participant smiling in daily “selfie” videos and (2) self-reported distress. Given the extensive use of digital devices for sharing expressions of non-verbal behavior, and some speculation that these expressions may reveal psychological states—including emotional distress—we wanted to understand whether facial expression in these TikTok-like videos were correlated with standardized measures of psychological distress. Based on the work of Paul Ekman and others, which posits that facial expressions are universal reflections of people’s inner states, we predicted that smiling would be inversely related to psychological distress.\\n\\nMethod: Twenty-four undergraduate students, aged 18+ years (M = 18.35, SD = 2.75), were prompted to record a two-minute selfie video each evening during two weeks of data collection (i.e., 14 total days). They were instructed to describe various aspects of their day. They also completed self-report questionnaires at the end of each assessment week, including the Depression Anxiety Stress Scale (DASS), Perceived Stress Scale (PSS), and the Pittsburgh Sleep Quality Index (PSQI).\\n\\nResults: A counterintuitive effect was observed whereby smiling intensity during selfie videos was positively correlated with individual differences in anxiety, depression, and stress.\\n\\nDiscussion: This study challenges the common view that facial expressions necessarily reflect our inner emotions. It provides preliminary evidence that a mobile sensing app that captures selfies—along with other naturalistic data—may help elucidate the relationship between facial expressions and emotions.\",\"PeriodicalId\":471449,\"journal\":{\"name\":\"Journal of trial and error\",\"volume\":\"68 10\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of trial and error\",\"FirstCategoryId\":\"0\",\"ListUrlMain\":\"https://doi.org/10.36850/8716-5abe\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of trial and error","FirstCategoryId":"0","ListUrlMain":"https://doi.org/10.36850/8716-5abe","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

研究背景本研究探讨了(1)参与者在日常 "自拍 "视频中的微笑与(2)自我报告的困扰之间的关系。鉴于人们广泛使用数字设备来分享非语言行为的表情,而且有人推测这些表情可能会揭示心理状态,包括情绪困扰,因此我们想了解这些类似 TikTok 的视频中的面部表情是否与心理困扰的标准化测量结果相关。保罗-艾克曼(Paul Ekman)等人的研究认为,面部表情是人们内心状态的普遍反映,基于这一观点,我们预测微笑将与心理困扰成反比:24名年龄在18岁以上的本科生(M = 18.35,SD = 2.75)被要求在两周的数据收集期间(即总共14天),每天晚上录制一段两分钟的自拍视频。他们被要求描述自己一天中的各个方面。他们还在每个评估周结束时填写了自我报告问卷,包括抑郁焦虑压力量表(DASS)、感知压力量表(PSS)和匹兹堡睡眠质量指数(PSQI):结果发现,自拍视频中的微笑强度与焦虑、抑郁和压力的个体差异呈正相关,从而产生了一种反直觉效应:本研究对 "面部表情必然反映我们的内心情绪 "这一普遍观点提出了质疑。它提供的初步证据表明,一款捕捉自拍的移动传感应用以及其他自然数据可能有助于阐明面部表情与情绪之间的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smile, You’re on Camera: Investigating the Relationship between Selfie Smiles and Distress
Background: This study examined the relationship between (1) participant smiling in daily “selfie” videos and (2) self-reported distress. Given the extensive use of digital devices for sharing expressions of non-verbal behavior, and some speculation that these expressions may reveal psychological states—including emotional distress—we wanted to understand whether facial expression in these TikTok-like videos were correlated with standardized measures of psychological distress. Based on the work of Paul Ekman and others, which posits that facial expressions are universal reflections of people’s inner states, we predicted that smiling would be inversely related to psychological distress. Method: Twenty-four undergraduate students, aged 18+ years (M = 18.35, SD = 2.75), were prompted to record a two-minute selfie video each evening during two weeks of data collection (i.e., 14 total days). They were instructed to describe various aspects of their day. They also completed self-report questionnaires at the end of each assessment week, including the Depression Anxiety Stress Scale (DASS), Perceived Stress Scale (PSS), and the Pittsburgh Sleep Quality Index (PSQI). Results: A counterintuitive effect was observed whereby smiling intensity during selfie videos was positively correlated with individual differences in anxiety, depression, and stress. Discussion: This study challenges the common view that facial expressions necessarily reflect our inner emotions. It provides preliminary evidence that a mobile sensing app that captures selfies—along with other naturalistic data—may help elucidate the relationship between facial expressions and emotions.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信