Abstract
In supervisory task, the operator needs not do any thing over prolonged periods of time, but must keep a certain level of attention to detect more serious signals for confirming the problems of the system. When the activity is to be performed for a continuous period of time, the ability to maintain attention may be severely impaired. The purpose of this study is to develop a quantitative sustained attention measuring model by fuzzy sets, which integrates the concepts of hit, false alarm and response time. Then, an alarm system is developed for improving performance of the sustained attention in supervisory task. The experimental results showed that the effect of the system is good for improving performance of sustained attention.
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Liu, CL., Lai, RL., Uang, ST. (2018). A Study of Sustained Attention Improving by Fuzzy Sets in Supervisory Tasks. In: Zuo, M., Ma, L., Mathew, J., Huang, HZ. (eds) Engineering Asset Management 2016. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-62274-3_14
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DOI: https://doi.org/10.1007/978-3-319-62274-3_14
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