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Modeling air traffic controllers decision making processes with relational complexity network
Zhang, JY (Zhang, Jingyu); Ren, JR (Ren, Jinrui); Wu, CX (Wu, Changxu)
First AuthorZhang, JY (Zhang, Jingyu)
2014
Conference NameIEEE 17th International Conference on Intelligent Transportation Systems (ITSC)
Correspondent Emailzhangjingyu@psych.ac.cn
Source Publication2014 IEEE 17TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC)
Issue不详
Pages2663-2668
Conference DateOCT 08-11, 2014
Conference PlaceQingdao, PEOPLES R CHINA
Abstract

Quantifying the link between aircraft interaction complexity and the decision making process of air traffic controllers can help developing sound cognitive models and effective intelligent supportive tools. In this paper, we introduced a new relational complexity network framework derived from network theory and cognitive mechanisms to explain some key aspects in the decisional processes of air traffic control tasks. In the validating experiment, we manipulated different aircraft interaction patterns and found that controllers' workload ranking, conflict detection rate, intervention decision and task completion time were significantly influenced by positions of single aircraft or aircraft pairs in the relational complexity network. Theoretical and practical contributions are discussed.

KeywordRelational Complexity Network Decision Making Air Traffic Control Cognitive Modeling Workload
Language英语
Document Type会议论文
Identifierhttp://ir.psych.ac.cn/handle/311026/26520
Collection中国科学院行为科学重点实验室
Affiliation1.Chinese Acad Sci, Inst Psychol, Key Lab Behav Sci
2.Beijing Normal Univ, Dept Psychol
3.SUNY Buffalo, Dept Ind Engn
Recommended Citation
GB/T 7714
Zhang, JY ,Ren, JR ,Wu, CX . Modeling air traffic controllers decision making processes with relational complexity network[C],2014:2663-2668.
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