Department of Automation Technology, Technische Universität Chemnitz, Chemnitz, Germany.
Laboratory of Synthetic Perceptive, Emotive and Cognitive Systems, Center of Autonomous Systems and Neurorobotics, Universitat Pompeu Fabra, Barcelona, Spain.
Appl Ergon. 2018 May;69:1-9. doi: 10.1016/j.apergo.2017.12.019. Epub 2018 Jan 12.
Air traffic controllers are required to perform complex tasks which require attention and high precision. This study investigates how the difficulty of such tasks influences emotional states, cognitive workload and task performance. We use quantitative and qualitative measurements, including the recording of pupil dilation and changes in affect using questionnaires. Participants were required to perform a number of air traffic control tasks using the immersive human accessible Virtual Reality space in the "eXperience Induction Machine". Based on the data collected, we developed and validated a model which integrates personality, workload and affective theories. Our results indicate that the difficulty of an air traffic control task has a direct influence on cognitive workload as well as on the self-reported mood; whereas both mood and workload seem to change independently. In addition, we show that personality, in particular neuroticism, affects both mood and performance of the participants.
空中交通管制员需要执行复杂的任务，这些任务需要注意力和高精度。本研究调查了这些任务的难度如何影响情绪状态、认知负荷和任务表现。我们使用定量和定性的测量方法，包括瞳孔扩张的记录和使用问卷改变的情感。参与者被要求使用“体验感应机”中的沉浸式人类可访问的虚拟现实空间执行一些空中交通管制任务。根据收集到的数据，我们开发并验证了一个集成个性、工作负荷和情感理论的模型。我们的结果表明，空中交通管制任务的难度直接影响认知负荷以及自我报告的情绪；而情绪和工作量似乎独立变化。此外，我们表明个性，特别是神经质，会影响参与者的情绪和表现。
