Experimental Psychology, Faculty of Behavioural and Social Sciences, University of Groningen, Grote Kruisstraat 2/1, NL-9751 TS Groningen, The Netherlands.
Ergonomics. 2012;55(11):1285-97. doi: 10.1080/00140139.2012.709279. Epub 2012 Aug 17.
Human factors and ergonomics research could benefit from focusing more strongly on individual differences--especially trait variables. The present study suggests the analysis of moderator effects as a promising way to enhance understanding of trait variables and process control performance. Process control performance was studied by analysing moderator effects of general mental ability (GMA) and need for cognition (NC) on risky decision-making (RDM) and performance. Fifty engineering students were trained on a process control task using a computer-based simulation for three hours and tested twice thereafter. Risky decision-making was measured using a computerised gambling task while GMA and NC were assessed with questionnaires. Risky decision-making in interaction with each GMA and NC explained variance in performance over and above variance explained by the single effects. In conclusion, the analysis of moderator effects between individual difference variables and process control performance seems promising. Practitioner Summary: Individual difference variables affect learning and performance, but have often not been studied to any great extent in human factors research. This article suggests a promising approach to studying individual differences--moderator analyses--and illustrates how such differences can lead to a better understanding of what determines process control performance.
人为因素和工效学研究可以从更加强调个体差异——尤其是特质变量中受益。本研究表明,分析调节效应是增强对特质变量和过程控制性能理解的一种有前途的方法。通过分析一般智力(GMA)和认知需求(NC)对风险决策(RDM)和性能的调节效应来研究过程控制性能。五十名工科学生在计算机模拟上接受了三个小时的过程控制任务培训,之后进行了两次测试。使用计算机赌博任务测量风险决策,使用问卷评估 GMA 和 NC。风险决策与每个 GMA 和 NC 的交互作用解释了性能的方差,超过了单个效应解释的方差。总之,分析个体差异变量与过程控制性能之间的调节效应似乎很有前途。从业者总结:个体差异变量会影响学习和表现,但在人为因素研究中,这些变量通常没有得到很大程度的研究。本文提出了一种研究个体差异的有前途的方法——调节分析——并说明了这些差异如何导致对决定过程控制性能的因素有更好的理解。