Experimental Psychology, School of Social Sciences, University of Mannheim, Schloss Ehrenhof Ost, D-68131, Mannheim, Germany.
Center for Doctoral Studies in Social and Behavioral Sciences, University of Mannheim, Mannheim, Germany.
Behav Res Methods. 2017 Oct;49(5):1652-1667. doi: 10.3758/s13428-017-0900-z.
Mouse-tracking - the analysis of mouse movements in computerized experiments - is becoming increasingly popular in the cognitive sciences. Mouse movements are taken as an indicator of commitment to or conflict between choice options during the decision process. Using mouse-tracking, researchers have gained insight into the temporal development of cognitive processes across a growing number of psychological domains. In the current article, we present software that offers easy and convenient means of recording and analyzing mouse movements in computerized laboratory experiments. In particular, we introduce and demonstrate the mousetrap plugin that adds mouse-tracking to OpenSesame, a popular general-purpose graphical experiment builder. By integrating with this existing experimental software, mousetrap allows for the creation of mouse-tracking studies through a graphical interface, without requiring programming skills. Thus, researchers can benefit from the core features of a validated software package and the many extensions available for it (e.g., the integration with auxiliary hardware such as eye-tracking, or the support of interactive experiments). In addition, the recorded data can be imported directly into the statistical programming language R using the mousetrap package, which greatly facilitates analysis. Mousetrap is cross-platform, open-source and available free of charge from https://github.com/pascalkieslich/mousetrap-os .
鼠标追踪——对计算机实验中鼠标运动的分析——在认知科学领域越来越受欢迎。鼠标运动被视为决策过程中对选择选项的承诺或冲突的指标。使用鼠标追踪,研究人员深入了解了越来越多的心理学领域中认知过程的时间发展。在当前的文章中,我们介绍了一种软件,它提供了在计算机化实验室实验中记录和分析鼠标运动的简单方便的方法。特别是,我们介绍并演示了 mousetrap 插件,它为流行的通用图形实验构建器 OpenSesame 添加了鼠标追踪功能。通过与这个现有的实验软件集成,mousetrap 允许通过图形界面创建鼠标追踪研究,而不需要编程技能。因此,研究人员可以从经过验证的软件包的核心功能和许多可用的扩展中受益(例如,与眼动追踪等辅助硬件的集成,或支持交互式实验)。此外,使用 mousetrap 包可以将记录的数据直接导入统计编程语言 R,这极大地方便了分析。Mousetrap 是跨平台的、开源的,可以从 https://github.com/pascalkieslich/mousetrap-os 免费获得。