Optimizing Online Situation Awareness Probes in Air Traffic Management Tasks

被引：0

作者：

Strybel, Thomas Z. ^{[1
]}

Minakata, Katsumi ^{[1
]}

Nguyen, Jimmy ^{[1
]}

Pierce, Russell ^{[1
]}

Vu, Kim-Phuong L. ^{[1
]}

机构：

[1] Calif State Univ Long Beach, Ctr Study Adv Aeronaut Technol, Long Beach, CA 90840 USA

来源：

HUMAN INTERFACE AND THE MANAGEMENT OF INFORMATION: INFORMATION AND INTERACTION, PT II | 2009年 / 5618卷

关键词：

situation awareness measurement; air traffic management; NextGen;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We examined the effectiveness of situation awareness probe questions in predicting sector performance and behavior in a human-in-the-loop simulation air traffic management (ATM) simulation with low (50%) and high (75%) traffic densities. Probes were presented online during the performance of the air traffic management task, and the accuracy and response latencies were measured. Hierarchical linear modeling was used to analyze the predictive power of each category type. Response latencies for conflict probe questions predicted performance metrics associated with separation assurance.

引用

页码：845 / 854

页数：10

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