Human factors · 2014
Exploring relationships of human-automation interaction consequences on pilots: uncovering subsystems.
СтатьяПоддержка правительства СШАНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Durso Francis T, Stearman Eric J, Morrow Daniel G, Mosier Kathleen L, Fischer Ute, Pop Vlad L, Feigh Karen M
Аннотация
OBJECTIVE: We attempted to understand the latent structure underlying the systems pilots use to operate in situations involving human-automation interaction (HAI).
BACKGROUND: HAI is an important characteristic of many modern work situations. Of course, the cognitive subsystems are not immediately apparent by observing a functioning system, but correlations between variables may reveal important relations.
METHOD: The current report examined pilot judgments of 11 HAI dimensions (e.g., Workload, Task Management, Stress/Nervousness, Monitoring Automation, and Cross-Checking Automation) across 48 scenarios that required airline pilots to interact with automation on the flight deck.
RESULTS: We found three major clusters of the dimensions identifying subsystems on the flight deck: a workload subsystem, a management subsystem, and an awareness subsystem.
DISCUSSION: Relationships characterized by simple correlations cohered in ways that suggested underlying subsystems consistent with those that had previously been theorized.
APPLICATION: Understanding the relationship among dimensions affecting HAI is an important aspect in determining how a new piece of automation designed to affect one dimension will affect other dimensions as well.
BACKGROUND: HAI is an important characteristic of many modern work situations. Of course, the cognitive subsystems are not immediately apparent by observing a functioning system, but correlations between variables may reveal important relations.
METHOD: The current report examined pilot judgments of 11 HAI dimensions (e.g., Workload, Task Management, Stress/Nervousness, Monitoring Automation, and Cross-Checking Automation) across 48 scenarios that required airline pilots to interact with automation on the flight deck.
RESULTS: We found three major clusters of the dimensions identifying subsystems on the flight deck: a workload subsystem, a management subsystem, and an awareness subsystem.
DISCUSSION: Relationships characterized by simple correlations cohered in ways that suggested underlying subsystems consistent with those that had previously been theorized.
APPLICATION: Understanding the relationship among dimensions affecting HAI is an important aspect in determining how a new piece of automation designed to affect one dimension will affect other dimensions as well.