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https://hdl.handle.net/10356/152087
Title: | Unstable approach in aviation : mental model disconnects between pilots and air traffic controllers and interaction conflicts | Authors: | Lai, Hsueh-Yi Chen, Chun-Hsien Khoo, Li Pheng Zheng, Pai |
Keywords: | Engineering::Aeronautical engineering | Issue Date: | 2019 | Source: | Lai, H., Chen, C., Khoo, L. P. & Zheng, P. (2019). Unstable approach in aviation : mental model disconnects between pilots and air traffic controllers and interaction conflicts. Reliability Engineering and System Safety, 185, 383-391. https://dx.doi.org/10.1016/j.ress.2019.01.009 | Project: | IRB-2015-08-009 ATMRI: 2014-R5-CHEN |
Journal: | Reliability Engineering and System Safety | Abstract: | Landing safety has long been a critical issue. To examine how system failures occur, the shared mental models (SMMs) between pilots and air traffic controllers (ATCOs) are studied. Meanwhile, to understand the context of various mental model disconnects, different categories of SMMs are also examined. Nine pilots and seven ATCOs are recruited to conduct the crew-based critical decision method. The SMMs of both parties are compared to identify the mental model disconnects associated with their interaction conflicts during landings. A key discovery of this research is that the mental model disconnects in task-related SMMs made it difficult to integrate various working results, which requires extra interaction to mitigate the contradiction in requirements. Furthermore, the conflicting disconnects caused by various priorities in a heterogeneous system are also identified, which requires further negotiation between the parties to achieve a mutually beneficial outcome. In team-related SMMs, mental model disconnects make different parties in a system hard to coordinate the respective requirements of members and also impede the prevention of system risks, both of which cause the continuation of risky operations. Finally, coordination of these SMMs forms a robust loop in which a system can actively detect and address the potential risks. | URI: | https://hdl.handle.net/10356/152087 | ISSN: | 0951-8320 | DOI: | 10.1016/j.ress.2019.01.009 | Rights: | © 2019 Elsevier Ltd. All rights reserved. | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
Appears in Collections: | MAE Journal Articles |
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