Department of Psychology, Auburn University, Auburn, AL, USA.
Behav Res Methods. 2011 Sep;43(3):853-63. doi: 10.3758/s13428-011-0083-y.
It has become increasingly more important for researchers to better capture the complexities of making a decision. To better measure cognitive processes such as attention during decision making, we introduce a new methodology: the decision moving window, which capitalizes on both mouse-tracing and eye-tracking methods. We demonstrate the effectiveness of this methodology in a probabilistic inferential decision task where we reliably measure attentional processing during decision making while allowing the person to determine how information is acquired. We outline the advantages of this methodological paradigm and how it can advance both decision-making research and the development of new metrics to capture cognitive processes in complex tasks.
研究人员越来越需要更好地捕捉决策的复杂性。为了更好地衡量决策过程中的认知过程，如注意力，我们引入了一种新的方法：决策移动窗口，它结合了鼠标跟踪和眼动跟踪方法。我们在概率推理决策任务中展示了这种方法的有效性，在该任务中，我们可以在允许被试确定如何获取信息的同时，可靠地测量决策过程中的注意力处理。我们概述了这种方法的优势，以及它如何推进决策研究和开发新的指标，以捕捉复杂任务中的认知过程。
