Leiden University, Leiden, the Netherlands.
University of Amsterdam, Amsterdam, the Netherlands.
Behav Res Methods. 2020 Oct;52(5):2085-2097. doi: 10.3758/s13428-020-01379-3.
Approach and avoidance tendencies have helped explain phenomena as diverse as addiction (Mogg, Field, & Bradley, 2005), phobia (Rinck & Becker, 2007), and intergroup discrimination (Bianchi, Carnaghi, & Shamloo, 2018; Degner, Essien, & Reichardt, 2016). When the original approach-avoidance task (AAT; Solarz, 1960) that measures these tendencies was redesigned to run on regular desktop computers, it made the task much more flexible but also sacrificed some important behavioral properties of the original task-most notably its reliance on physical distance change (Chen & Bargh, 1999). Here, we present a new, mobile version of the AAT that runs entirely on smartphones and combines the flexibility of modern tasks with the behavioral properties of the original AAT. In addition, it can easily be deployed in the field and, next to traditional reaction time measurements, includes the novel measurement of response force. In two studies, we demonstrate that the mobile AAT can reliably measure known approach-avoidance tendencies toward happy and angry faces both in the laboratory and in the field.
趋近和回避倾向有助于解释各种现象,如成瘾(Mogg、Field 和 Bradley,2005)、恐惧症(Rinck 和 Becker,2007)和群体间歧视(Bianchi、Carnaghi 和 Shamloo,2018;Degner、Essien 和 Reichardt,2016)。当最初用于测量这些倾向的趋近回避任务(AAT;Solarz,1960)被重新设计为在普通台式计算机上运行时,它使任务更加灵活,但也牺牲了原始任务的一些重要行为特性——最显著的是它对物理距离变化的依赖(Chen 和 Bargh,1999)。在这里,我们提出了一种新的、移动版的 AAT,它完全在智能手机上运行,将现代任务的灵活性与原始 AAT 的行为特性相结合。此外,它可以很容易地在现场部署,除了传统的反应时间测量外,还包括对响应力的新测量。在两项研究中,我们证明了移动 AAT 可以可靠地测量实验室和现场中对快乐和愤怒面孔的已知趋近回避倾向。