Testing the efficacy of different methods for mitigating aviation-related hypovigilance after detecting it on-line using physiological parameters

与疲劳有关的警觉下降(警戒不足)及其对性能的负面影响被广泛认为对航空安全构成严重风险。在先前的Engage项目中，泰利斯研究与技术(TRT)加拿大(魁北克)的科学家与Klein实验室合作设计和实施了一个研究项目，参与者在8小时内执行任务，在此期间连续或定期收集各种生理、眼球运动和表现参数以及疲劳自我报告。泰利斯的科学家随后开发了一个数学模型，该模型可以从生理数据中预测与疲劳相关的低警觉性；该模型在推广到“新”数据时是成功的，最近在一个更生态有效的场景(洲际飞行)中进行了测试。在后续项目中，Dalhousie-Thales团队计划基于该模型对执行类似驾驶任务的过程中收集的可穿戴数据进行的子线分析，测试降低警觉措施的有效性。泰利斯是一家世界级的驾驶舱解决方案提供商。他们与克莱恩实验室合作，使用从可穿戴设备收集的数据来检测疲劳，这一成功为目前的项目奠定了基础，在该项目中，克莱恩实验室将生成数据，使泰利斯公司能够在驾驶舱解决方案中包含缓解疲劳的策略。

Fatigue-related decreases in vigilance (hypovigilance) and their negative effects on performance are widelyrecognized as posing a serious risk to aviation safety. In a prior Engage project, scientists at Thales Research &Technology (TRT) Canada (Quebec) collaborated with the Klein laboratory to design and conduct a researchproject in which participants performed tasks over an 8 hour period during which a variety of physiological,oculomotor and performance parameters, and self-reports of fatigue, were collected either continuously orregularly. Thales scientists then developed a mathematical model that from the physiological data could predictfatigue-related hypovigilance; a model that was successful when generalized to "new" data and that wasrecently tested in a more ecologically valid scenario (an intercontinental flight). In a followup project theDalhousie-Thales team plans to test the efficacy of mitigation measures of hypovigilance based on this model'son-line analysis of wearable data collecting during performance on a driving-like task. Thales is a world-classprovider of cockpit solutions. Their success, with the Klein laboratory, in using the data collected fromwearable devices to detect fatigue, lays the foundation for the current project in which the Klein lab willgenerate data that will allow Thales to include fatigue-mitigation strategies in their cockpit solutions.