通过操作员偏好和主动监控的集成优化自动报警系统:初步测试

Theresa Parker, Robert Henning
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引用次数: 0

摘要

优化自动报警系统的努力已经引入了辅助图形主动监测显示器(GPMDs)的使用,该显示器可以在报警的同时促进显著偏差检测。本研究提出结合更新的、适应性强的自动化技术,使操作员能够控制自动报警的可靠性,并结合GPMDs进一步优化这些系统。使用NASA多属性任务电池(OpenMATB)的开源版本,采用2(可靠性选择)x 2(补充显示)病例对照匹配设计来检查对任务性能、操作员情绪、自动化信任和主观工作量的影响。结果表明,实验参与者在自动化信任量表上对自动化的评价显著高于对照组。很少有负面的发现表明,继续研究拟议的系统调整是值得的,以确定在失败风险特别危险的现实世界场景中,它们的应用是否有好处。
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Optimizing Automated Alarm Systems Through the Integration of Operator Preferences and Proactive Monitoring: Initial Testing
Efforts to optimize automated alarm systems have introduced the use of supplementary graphical proactive monitoring displays (GPMDs) that promote salient deviation detection alongside alarms. This study proposes the incorporation of newer, adaptable automation techniques, which afford operators control over an automated alarm’s reliability, in combination with GPMDs to further optimize these systems. A 2 (choice in reliability) x 2 (supplementary display) case-control match design was used to examine effects on task performance, operator mood, trust in automation, and subjective workload using an open-source version of the NASA Multi-Attribute Task Battery (OpenMATB). Results indicate that experimental participants rated the automation significantly higher on a trust in automation subscale than those in the control group. Few negative findings indicate it would be worthwhile to continue investigating the proposed system adaptations to determine if there are benefits to be gained from their application in realworld scenarios where risk of failure is especially dangerous.
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