Dixon Stephen R, Wickens Christopher D
University of Illinois, Institute of Aviation, Aviation Human Factors Division, 1 Airport Rd., Savoy, IL 61874, USA.
Hum Factors. 2006 Fall;48(3):474-86. doi: 10.1518/001872006778606822.
Two experiments were conducted in which participants navigated a simulated unmanned aerial vehicle (UAV) through a series of mission legs while searching for targets and monitoring system parameters. The goal of the study was to highlight the qualitatively different effects of automation false alarms and misses as they relate to operator compliance and reliance, respectively.
Background data suggest that automation false alarms cause reduced compliance, whereas misses cause reduced reliance.
In two studies, 32 and 24 participants, including some licensed pilots, performed in-lab UAV simulations that presented the visual world and collected dependent measures.
Results indicated that with the low-reliability aids, false alarms correlated with poorer performance in the system failure task, whereas misses correlated with poorer performance in the concurrent tasks.
Compliance and reliance do appear to be affected by false alarms and misses, respectively, and are relatively independent of each other.
Practical implications are that automated aids must be fairly reliable to provide global benefits and that false alarms and misses have qualitatively different effects on performance.
进行了两项实验，参与者在搜索目标并监测系统参数的同时，驾驶模拟无人机（UAV）完成一系列任务航段。本研究的目的是分别突出自动化误报和漏报在与操作员合规性和依赖性相关方面的质的不同影响。
背景数据表明，自动化误报会导致合规性降低，而漏报会导致依赖性降低。
在两项研究中，32名和24名参与者（包括一些有执照的飞行员）进行了实验室无人机模拟，模拟呈现视觉场景并收集相关测量数据。
结果表明，在可靠性较低的辅助设备情况下，误报与系统故障任务中的较差表现相关，而漏报与并发任务中的较差表现相关。
合规性和依赖性似乎分别受到误报和漏报的影响，并且彼此相对独立。
实际意义在于，自动化辅助设备必须具有相当高的可靠性才能带来全面的益处，并且误报和漏报对性能有着质的不同影响。
