Westfal Mareike, Cracco Emiel, Crusius Jan, Genschow Oliver
Leuphana University Lueneburg, Lueneburg, Germany.
Ghent University, Ghent, Belgium.
Behav Res Methods. 2025 Jan 30;57(2):80. doi: 10.3758/s13428-024-02557-3.
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.
人们会自动模仿各种各样不同的行为。评估模仿行为最常用的测量方法之一是模仿抑制任务(布拉斯等人,2000年)。然而,其原始形式的一个缺点是,它是在实验室环境中得到验证的——这是一个耗时且昂贵的过程。在这里,我们提出一种在在线环境中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。我们在四个实验中对该任务进行了验证。实验1(N = 88)表明,可以检测到具有良好心理测量特性的典型自动模仿效应。更进一步,实验2(N = 182)直接将模仿抑制任务的在线版本与其实验室版本进行了比较,并证明在线版本产生了类似的强烈且可靠的效果。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,也能在在线环境中可靠地检测到自动模仿。实验4(N = 104)发现,与先前的研究一致,个体模仿机器人执行的手部动作的强度低于模仿人类执行的动作。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,能够以可靠且有效的方式通过常见的在线调查软件工具来测量自动模仿。