Department of Psychology and Ergonomics, Berlin Institute of Technology, Berlin, Germany.
Hum Factors. 2011 Dec;53(6):717-28. doi: 10.1177/0018720811418222.
The authors investigated how human performance consequences of automated decision aids are affected by the degree of automation and the operator's functional state.
As research has shown, decision aids may not only improve performance but also lead to new sorts of risks.Whereas knowledge exists about the impact of system characteristics (e.g., reliability) on human performance, little is known about how these performance consequences are moderated by the functional state of operators.
Participants performed a simulated supervisory process control task with one of two decision aids providing support for fault identification and management. One session took place during the day, and another one took place during the night after a prolonged waking phase of more than 20 hr.
Results showed that decision aids can support humans effectively in maintaining high levels of performance, even in states of sleep loss, with more highly automated aids being more effective than less automated ones. Furthermore, participants suffering from sleep loss were found to be more careful in interaction with the aids, that is, less prone to effects of complacency and automation bias. However, cost effects arose that included a decline in secondary-task performance and an increased risk of return-to-manual performance decrements.
Automation support can help protect performance after a period of extended wakefulness. In addition, operators suffering from sleep loss seem to compensate for their impaired functional state by reallocating resources and showing a more attentive behavior toward possible automation failures.
Results of this research can inform the design of automation, especially decision aids.
作者研究了自动化决策辅助工具的人类绩效后果如何受到自动化程度和操作员功能状态的影响。
研究表明,决策辅助工具不仅可以提高绩效,还可能带来新的风险。虽然已经了解了系统特征(例如可靠性)对人类绩效的影响,但对于操作员的功能状态如何调节这些绩效后果知之甚少。
参与者使用两种决策辅助工具之一执行模拟监督过程控制任务,为故障识别和管理提供支持。一个会话在白天进行,另一个会话在经历了超过 20 小时的长时间清醒期后在夜间进行。
结果表明,决策辅助工具即使在睡眠不足的情况下也可以有效地支持人类维持高水平的绩效,高度自动化的辅助工具比低度自动化的辅助工具更有效。此外,发现睡眠不足的参与者在与辅助工具交互时更加小心,即不太容易受到自满和自动化偏差的影响。然而,出现了成本效应,包括次要任务绩效下降和恢复手动性能下降的风险增加。
自动化支持可以帮助在延长清醒期后保护绩效。此外,睡眠不足的操作员似乎通过重新分配资源并对可能的自动化故障表现出更关注的行为来补偿其功能状态受损。
这项研究的结果可以为自动化设计提供信息,特别是决策辅助工具。