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QRTEngine:一种使用Qualtrics运行在线反应时间实验的简便解决方案。

QRTEngine: An easy solution for running online reaction time experiments using Qualtrics.

作者信息

Barnhoorn Jonathan S, Haasnoot Erwin, Bocanegra Bruno R, van Steenbergen Henk

机构信息

Institute of Psychology, Leiden University, Wassenaarseweg 52, Leiden, 2333, AK, The Netherlands.

Department of Cognitive Psychology and Ergonomics, Faculty of Behavioral, Management and Social Sciences, University of Twente, Enschede, The Netherlands.

出版信息

Behav Res Methods. 2015 Dec;47(4):918-929. doi: 10.3758/s13428-014-0530-7.

Abstract

Performing online behavioral research is gaining increased popularity among researchers in psychological and cognitive science. However, the currently available methods for conducting online reaction time experiments are often complicated and typically require advanced technical skills. In this article, we introduce the Qualtrics Reaction Time Engine (QRTEngine), an open-source JavaScript engine that can be embedded in the online survey development environment Qualtrics. The QRTEngine can be used to easily develop browser-based online reaction time experiments with accurate timing within current browser capabilities, and it requires only minimal programming skills. After introducing the QRTEngine, we briefly discuss how to create and distribute a Stroop task. Next, we describe a study in which we investigated the timing accuracy of the engine under different processor loads using external chronometry. Finally, we show that the QRTEngine can be used to reproduce classic behavioral effects in three reaction time paradigms: a Stroop task, an attentional blink task, and a masked-priming task. These findings demonstrate that QRTEngine can be used as a tool for conducting online behavioral research even when this requires accurate stimulus presentation times.

摘要

开展在线行为研究在心理学和认知科学领域的研究人员中越来越受欢迎。然而,目前用于进行在线反应时间实验的方法通常很复杂,而且通常需要先进的技术技能。在本文中,我们介绍了Qualtrics反应时间引擎(QRTEngine),这是一种可嵌入在线调查开发环境Qualtrics的开源JavaScript引擎。QRTEngine可用于在当前浏览器功能范围内轻松开发基于浏览器的在线反应时间实验,且计时准确,并且只需要极少的编程技能。在介绍QRTEngine之后,我们简要讨论如何创建和分发Stroop任务。接下来,我们描述一项研究,在该研究中我们使用外部计时法研究了该引擎在不同处理器负载下的计时准确性。最后,我们表明QRTEngine可用于在三种反应时间范式中重现经典行为效应:Stroop任务、注意瞬脱任务和掩蔽启动任务。这些发现表明,即使在需要精确刺激呈现时间的情况下,QRTEngine也可作为开展在线行为研究的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a80/4636512/9224bd8170a1/13428_2014_530_Fig1_HTML.jpg

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