School of Psychological Science, The University of Western Australia, Crawley, Australia.
Hum Factors. 2024 Jul;66(7):1817-1829. doi: 10.1177/00187208231190980. Epub 2023 Jul 27.
We investigated the extent to which a voluntary-use range and bearing line (RBL) tool improves return-to-manual performance when supervising high-degree conflict detection automation in simulated air traffic control.
High-degree automation typically benefits routine performance and reduces workload, but can degrade return-to-manual performance if automation fails. We reasoned that providing a voluntary checking tool (RBL) would support automation failure detection, but also that automation induced complacency could extend to nonoptimal use of such tools.
Participants were assigned to one of three conditions, where conflict detection was either performed: manually, with RBLs available to use (Manual + RBL), automatically with RBLs (Auto + RBL), or automatically without RBLs (Auto). Voluntary-use RBLs allowed participants to reliably check aircraft conflict status. Automation failed once.
RBLs improved automation failure detection - with participants intervening faster and making fewer false alarms when provided RBLs compared to not (Auto + RBL vs Auto). However, a cost of high-degree automation remained, with participants slower to intervene to the automation failure than to an identical manual conflict event (Auto + RBL vs Manual + RBL). There was no difference in RBL engagement time between Auto + RBL and Manual + RBL conditions, suggesting participants noticed the conflict event at the same time.
The cost of automation may have arisen from participants' reconciling which information to trust: the automation (which indicated no conflict and had been perfectly reliable prior to failing) or the RBL (which indicated a conflict).
Providing a mechanism for checking the validity of high-degree automation may facilitate human supervision of automation.
我们研究了在模拟空中交通管制中监督高度冲突检测自动化时,自愿使用范围和 Bearing 线 (RBL) 工具在多大程度上提高了返回手动操作的性能。
高度自动化通常有益于常规性能并降低工作负荷,但如果自动化失败,可能会降低返回手动操作的性能。我们推断,提供自愿检查工具 (RBL) 将支持自动化故障检测,但自动化引起的自满情绪也可能扩展到对这些工具的非最佳使用。
参与者被分配到三种条件之一,其中冲突检测是手动执行的(Manual + RBL)、使用 RBL 自动执行(Auto + RBL)或没有 RBL 自动执行(Auto)。自愿使用的 RBL 允许参与者可靠地检查飞机冲突状态。自动化失败了一次。
RBL 提高了自动化故障检测的能力 - 与没有提供 RBL 相比,参与者在提供 RBL 时更快地干预并且误报更少(Auto + RBL 与 Auto)。然而,高度自动化仍然存在成本,与手动冲突事件相比,参与者更慢地干预自动化故障(Auto + RBL 与 Manual + RBL)。在 Auto + RBL 和 Manual + RBL 条件之间,RBL 参与时间没有差异,这表明参与者同时注意到了冲突事件。
自动化的成本可能是由于参与者需要协调信任哪种信息造成的:自动化(在失败之前指示没有冲突并且一直是可靠的)或 RBL(指示存在冲突)。
提供一种检查高度自动化有效性的机制可能有助于人类对自动化的监督。