School of Psychological Science, University of Bristol, Bristol, UK.
Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Cogn Res Princ Implic. 2021 Jun 26;6(1):47. doi: 10.1186/s41235-021-00312-2.
Visual search in dynamic environments, for example lifeguarding or CCTV monitoring, has several fundamentally different properties to standard visual search tasks. The visual environment is constantly moving, a range of items could become targets and the task is to search for a certain event. We developed a novel task in which participants were required to search static and moving displays for an orientation change thus capturing components of visual search, multiple object tracking and change detection paradigms. In Experiment 1, we found that the addition of moving distractors slowed participants' response time to detect an orientation changes in a moving target, showing that the motion of distractors disrupts the rapid detection of orientation changes in a moving target. In Experiment 2 we found that, in displays of both moving and static objects, response time was slower if a moving object underwent a change than if a static object did, thus demonstrating that motion of the target itself also disrupts the detection of an orientation change. Our results could have implications for training in real-world occupations where the task is to search a dynamic environment for a critical event. Moreover, we add to the literature highlighting the need to develop lab-based tasks with high experimental control from any real-world tasks researchers may wish to investigate rather than extrapolating from static visual search tasks to more dynamic environments.
在动态环境中进行视觉搜索,例如救生员或 CCTV 监控,与标准视觉搜索任务有几个根本不同的性质。视觉环境不断移动,一系列物品可能成为目标,任务是搜索特定事件。我们开发了一种新的任务,要求参与者在静态和动态显示器上搜索方向变化,从而捕获视觉搜索、多目标跟踪和变化检测范式的组成部分。在实验 1 中,我们发现添加移动干扰物会减慢参与者检测移动目标中方向变化的反应时间,表明干扰物的运动会破坏对移动目标中方向变化的快速检测。在实验 2 中,我们发现,在移动和静态物体的显示中,如果移动物体发生变化,其反应时间会比静态物体慢,因此表明目标本身的运动会破坏对方向变化的检测。我们的研究结果可能对现实世界职业的培训有影响,在这些职业中,任务是在动态环境中搜索关键事件。此外,我们补充了文献,强调需要从研究人员可能希望研究的任何现实世界任务中开发具有高度实验控制的基于实验室的任务,而不是从静态视觉搜索任务推断到更动态的环境。