Validation of an online imitation-inhibition task.

IF 3.9 2区 心理学 Q1 PSYCHOLOGY, EXPERIMENTAL Behavior Research Methods Pub Date : 2025-01-30 DOI:10.3758/s13428-024-02557-3
Mareike Westfal, Emiel Cracco, Jan Crusius, Oliver Genschow
{"title":"Validation of an online imitation-inhibition task.","authors":"Mareike Westfal, Emiel Cracco, Jan Crusius, Oliver Genschow","doi":"10.3758/s13428-024-02557-3","DOIUrl":null,"url":null,"abstract":"<p><p>People automatically imitate a wide range of different behaviors. One of the most commonly used measurement methods to assess imitative behavior is the imitation-inhibition task (Brass et al., 2000). A disadvantage of its original form is, however, that it was validated for laboratory settings-a time-consuming and costly procedure. Here, we present an approach for conducting the imitation-inhibition task in online settings. We programmed the online version of the imitation-inhibition task in JavaScript and implemented the task in online survey software (i.e., Qualtrics). We validated the task in four experiments. Experiment 1 (N = 88) showed that the typical automatic imitation effects can be detected with good psychometric properties. Going one step further, Experiment 2 (N = 182) directly compared the online version of the imitation-inhibition task with its laboratory version and demonstrated that the online version produces similar strong and reliable effects. In Experiments 3 and 4, we assessed typical moderator effects that were previously reported in laboratory settings: Experiment 3 (N = 93) demonstrated that automatic imitation can be reliably detected in online settings even when controlling for spatial compatibility. Experiment 4 (N = 104) found, in line with previous research, that individuals imitate hand movements executed by a robot less strongly than movements executed by a human. Taken together, the results show that the online version of the imitation-inhibition task offers an easy-to-use method that enables the measurement of automatic imitation with common online survey software tools in a reliable and valid fashion.</p>","PeriodicalId":8717,"journal":{"name":"Behavior Research Methods","volume":"57 2","pages":"80"},"PeriodicalIF":3.9000,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11782408/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Behavior Research Methods","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.3758/s13428-024-02557-3","RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0

Abstract

People automatically imitate a wide range of different behaviors. One of the most commonly used measurement methods to assess imitative behavior is the imitation-inhibition task (Brass et al., 2000). A disadvantage of its original form is, however, that it was validated for laboratory settings-a time-consuming and costly procedure. Here, we present an approach for conducting the imitation-inhibition task in online settings. We programmed the online version of the imitation-inhibition task in JavaScript and implemented the task in online survey software (i.e., Qualtrics). We validated the task in four experiments. Experiment 1 (N = 88) showed that the typical automatic imitation effects can be detected with good psychometric properties. Going one step further, Experiment 2 (N = 182) directly compared the online version of the imitation-inhibition task with its laboratory version and demonstrated that the online version produces similar strong and reliable effects. In Experiments 3 and 4, we assessed typical moderator effects that were previously reported in laboratory settings: Experiment 3 (N = 93) demonstrated that automatic imitation can be reliably detected in online settings even when controlling for spatial compatibility. Experiment 4 (N = 104) found, in line with previous research, that individuals imitate hand movements executed by a robot less strongly than movements executed by a human. Taken together, the results show that the online version of the imitation-inhibition task offers an easy-to-use method that enables the measurement of automatic imitation with common online survey software tools in a reliable and valid fashion.

Abstract Image

Abstract Image

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
在线模仿抑制任务的验证。
人们会自动模仿各种不同的行为。模仿抑制任务是评估模仿行为最常用的测量方法之一(Brass et al., 2000)。然而,其原始形式的一个缺点是,它是在实验室环境中进行验证的,这是一个耗时且昂贵的过程。在这里,我们提出了一种在网络环境下进行模仿抑制任务的方法。我们用JavaScript编写了模仿抑制任务的在线版本,并在在线调查软件(即Qualtrics)中实现了该任务。我们在四个实验中验证了这个任务。实验1 (N = 88)表明典型自动模仿效应具有良好的心理测量性质。更进一步,实验2 (N = 182)直接将网络版的模仿抑制任务与实验室版的模仿抑制任务进行了比较,证明了网络版的模仿抑制任务产生了同样强烈而可靠的效果。在实验3和4中,我们评估了先前在实验室环境中报道的典型调节效应:实验3 (N = 93)表明,即使在控制空间兼容性的情况下,在线环境也能可靠地检测到自动模仿。实验4 (N = 104)发现,与之前的研究一致,个体对机器人手部动作的模仿程度低于人类。综上所述,结果表明,模仿抑制任务的在线版本提供了一种易于使用的方法,可以可靠有效地使用常见的在线调查软件工具来测量自动模仿。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
10.30
自引率
9.30%
发文量
266
期刊介绍: Behavior Research Methods publishes articles concerned with the methods, techniques, and instrumentation of research in experimental psychology. The journal focuses particularly on the use of computer technology in psychological research. An annual special issue is devoted to this field.
期刊最新文献
Correction: Collection of body-object interaction ratings for 5,637 Japanese words. Blink parameters are confounded by vertical eye orientation in video-based eye tracking: Comparing pupil- and eyelid-based methods. Walking towards the future: Exploring OpenTUG's validity in automatic walking activity analyses and the relationship to cognition in vestibular patients. Dynamic measurement invariance cutoffs for longitudinal and dyadic data. An autoregressive latent change score model for randomized pretest, posttest, follow-up designs.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1