@inproceedings{54c1f84493d14ed9a2ac28a301973245,
title = "Operator{\textquoteright}s Human Error Features in Compensatory Tracking Task Based on Cognitive Process",
abstract = "To explore the cognitive characteristics of human error in different cognitive processes and the correlations between basic cognitive abilities and compensation tracking task, a simulated compensatory tracking task with four stages (perception task, judgment task, regulation task and comprehensive task, in which the comprehensive task include perception link, judgment link and regulation link) was performed. Four basic cognitive ability of 36 volunteers and the performance of the compensatory tracking task were obtained for statistical analysis. The results showed that the error rate of perception task/link was the lowest and that of regulation task/link was the highest. Moreover, the sustained attention ability was significantly associated with perception and regulation task. The working memory ability was significantly related to perception task. These observations indicated that human errors are most likely to occur in the regulation phase, and sustained attention and working memory are important abilities in compensatory tracking task.",
keywords = "Cognitive ability, Cognitive process, Compensatory tracking task, Human error",
author = "Jintao Wu and Yan Lv and Weicai Tang and Qianxiang Zhou and Yi Xiao",
note = "Publisher Copyright: {\textcopyright} 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.; AHFE Virtual Conferences on Safety Management and Human Error, Reliability, Resilience, and Performance, 2020 ; Conference date: 16-07-2020 Through 20-07-2020",
year = "2020",
doi = "10.1007/978-3-030-50946-0\_40",
language = "英语",
isbn = "9783030509453",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
pages = "296--301",
editor = "Arezes, \{Pedro M.\} and Boring, \{Ronald L.\}",
booktitle = "Advances in Safety Management and Human Performance - Proceedings of the AHFE 2020 Virtual Conferences on Safety Management and Human Factors, and Human Error, Reliability, Resilience, and Performance",
address = "德国",
}