Development and validation of a "scientifically based" software that predicts work-related fatigue in the aeronautical industry

疲劳管理是交通运输行业的主要安全问题。本提案的目的是验证一个基于科学的软件，该软件可以预测航空领域的工作疲劳及其影响因素。为了实现这一目标，我们将首先组织探索航空子公司的实地考察，并组织与疲劳相关事故高风险工人（如技术人员、工程师、飞行员）进行90分钟的焦点小组讨论。焦点小组将有助于澄清与工作有关的疲劳的迹象、感知原因和后果之间的关系，以及与工作环境的身体和组织/社会心理方面有关的限制。然后，通过焦点小组收集的信息将整合到实验性的实地研究中。将招募具有代表性的工人团体（30人/组）进行为期两周的实地研究。在整个实地研究过程中，工作人员将填写睡眠-觉醒日志和他们的疲劳/警觉性/情绪水平的日常日志，并将记录身体和组织/心理工作限制。他们的表现将被客观地测量，每天3次，每次10分钟的精神运动警戒任务。还计划在工作日和休息日进行两期24小时密集监测，以量化昼夜节律和睡眠-觉醒依赖性的嗜睡变化。在这几天，生理参数（心率变异性、唾液皮质醇和体温）将被测量。这些数据随后将用于设计一个创新的生物数学疲劳模型，预测员工的工作疲劳。最后，将对该算法进行为期一年的纵向现场可用性测试，进一步验证该算法的有效性。这种独特的“世界首创”的科学方法将使航空视觉技术国际公司（AVTi）在所有与航空安全软件相关的竞争对手中具有商业化优势。这是首次将此类工作限制纳入基于生理的工作场所疲劳模型。

Fatigue management is a prime safety concern in the transportation industry. The objective of this proposal is to validate a scientifically-based software that predicts work-related fatigue and its contributing factors in the aeronautical field. To achieve this aim, we will first organize site visits with Discovery Air subsidiaries and 90-min focus groups with workers at high risk of fatigue-related incidents (such as technicians, engineers, pilots). Focus groups will serve to clarify the relationship between signs, perceived causes, and consequences of work-related fatigue, and the constraints related to physical and organizational/psychosocial aspects of their working environment. Information gathered through focus groups will then be integrated into an experimental field study. Representative workers' groups (30/group) will be recruited for a 2-week field study. Throughout this field study, workers will fill out a sleep-wake log and daily logs of their fatigue/alertness/mood levels, and will document physical and organizational/psychosocial work constraints. Their performance will be objectively measured, 3 times a day, with a 10-min psychomotor vigilance task. Two periods of intensive 24-h monitoring will also be planned, during a work and a rest day, to quantify the circadian and sleep-wake dependent variation of sleepiness. During these days, physiological parameters (heart rate variability, salivary cortisol, and body temperature) will be measured. These data will subsequently serve in the design of an innovative biomathematical fatigue model predicting employees' work-related fatigue. Finally, this algorithm will be further validated by testing its usability in the field longitudinally for a one-year period. This unique and "first in the world" scientific approach will give Aero Vision Technologies International (AVTi) a commercialization edge on all competitors concerned with aviation safety software. This is the first initiative to integrate such work constraints into a physiologically based model of workplace fatigue.