Smith Max Kailler, Kracinovich Amelia R, Schrom Brandon J, Dunn Timothy L
Warfighter Performance Department, Naval Health Research Center, San Diego, CA, USA.
Leidos, Inc., San Diego, CA, USA.
Cogn Res Princ Implic. 2025 Jun 15;10(1):29. doi: 10.1186/s41235-025-00638-1.
As automation becomes increasingly integrated into complex military tasks, its role in supporting human performance under fatigue warrants careful evaluation. A specific military use case in which automatic target cuing (ATC) is integrated is undersea threat detection (UTD). These types of tasks demand sustained vigilance, accurate classification, and reliable metacognitive judgements. Fatigue, especially due to increased time awake, presents a significant challenge to sustaining high performance. This study investigated whether ATC enhances UTD performance under low fatigue conditions and protects against errors when operators are fatigued, as is common during fleet operations. Thirty-six active-duty service members completed four sessions of a simulated UTD task, with and without an imperfect ATC system, over a ~24-hour wakeful period. Results showed that ATC did not enhance performance when participants were alert, though detection accuracy maintained despite increased fatigue. However, fatigue led to decreased metacognitive sensitivity, reflected in greater confidence for false alarms and reduced trust in the ATC system. These findings suggest that while automation assistance can potentially protect basic task performance under fatigue, it does not prevent the degradation of higher-level cognitive processes, such as metacognitive accuracy and trust in the automation. This study highlights the importance of understanding how automation interacts with cognitive states, especially under fatigue, to optimize its role in critical military operations.
随着自动化越来越多地融入复杂的军事任务中,其在疲劳状态下支持人类表现的作用值得仔细评估。自动目标提示(ATC)被整合其中的一个特定军事用例是水下威胁检测(UTD)。这类任务需要持续的警惕性、准确的分类以及可靠的元认知判断。疲劳,尤其是由于清醒时间增加导致的疲劳,对维持高性能构成了重大挑战。本研究调查了ATC在低疲劳条件下是否能提高UTD性能,以及在操作员疲劳时(这在舰队行动中很常见)是否能防止出错。三十六名现役军人在约24小时的清醒期内完成了四节模拟UTD任务,有无不完善的ATC系统各两次。结果表明,当参与者警觉时,ATC并没有提高性能,尽管疲劳增加,但检测准确率仍保持不变。然而,疲劳导致元认知敏感性下降,表现为对误报更有信心,对ATC系统的信任降低。这些发现表明,虽然自动化辅助在疲劳状态下可能会保护基本任务性能,但它并不能防止高级认知过程的退化,如元认知准确性和对自动化的信任。这项研究强调了理解自动化如何与认知状态相互作用的重要性,尤其是在疲劳状态下,以优化其在关键军事行动中的作用。