Edward P. Fitts Department of Industrial & Systems Engineering, North Carolina State University, United States.
Edward P. Fitts Department of Industrial & Systems Engineering, North Carolina State University, United States.
Appl Ergon. 2018 Jan;66:161-171. doi: 10.1016/j.apergo.2017.08.013. Epub 2017 Sep 7.
Crash reports from various states in the U.S. have shown high numbers of emergency vehicle crashes, especially in law enforcement situations. This study identified the perceived importance and frequency of police mobile computing terminal (MCT) tasks, quantified the demands of different tasks using a cognitive performance modeling methodology, identified usability violations of current MCT interface designs, and formulated design recommendations for an enhanced interface. Results revealed that "access call notes", "plate number check" and "find location on map" are the most important and frequently performed tasks for officers. "Reading plate information" was also found to be the most visually and cognitively demanding task-method. Usability principles of "using simple and natural dialog" and "minimizing user memory load" were violated by the current MCT interface design. The enhanced design showed potential for reducing cognitive demands and task completion time. Findings should be further validated using a driving simulation study.
来自美国多个州的碰撞报告显示，紧急车辆碰撞事故数量很高，尤其是在执法情况下。本研究确定了警察移动计算终端（MCT）任务的感知重要性和频率，使用认知性能建模方法量化了不同任务的需求，确定了当前 MCT 界面设计的可用性违规行为，并为增强型界面制定了设计建议。结果表明，“访问呼叫记录”、“车牌号码检查”和“在地图上查找位置”是警察最重要和最常执行的任务。“读取车牌信息”也被发现是最具视觉和认知挑战性的任务方法。当前的 MCT 界面设计违反了“使用简单自然的对话”和“最小化用户记忆负担”的可用性原则。增强型设计显示出降低认知需求和任务完成时间的潜力。应使用驾驶模拟研究进一步验证研究结果。
