Investigating the evolving context of an unstable approach in aviation from mental model disconnects with an agent-based model
Unstable approach is an adverse aviation event, and it is strongly related to the interaction between pilots and air traffic controllers (ATCOs). Mental model disconnects among team members can be a major cause of possible interaction conflicts and defective team cognition. Therefore, to study the n...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/161117 |
| _version_ | 1811679277628784640 |
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| author | Lai, Hsueh-Yi Chen, Chun-Hsien Zheng, Pai Khoo, Li Pheng |
| author2 | School of Mechanical and Aerospace Engineering |
| author_facet | School of Mechanical and Aerospace Engineering Lai, Hsueh-Yi Chen, Chun-Hsien Zheng, Pai Khoo, Li Pheng |
| author_sort | Lai, Hsueh-Yi |
| collection | NTU |
| description | Unstable approach is an adverse aviation event, and it is strongly related to the interaction between pilots and air traffic controllers (ATCOs). Mental model disconnects among team members can be a major cause of possible interaction conflicts and defective team cognition. Therefore, to study the negative effects of various mental model disconnects, a framework of evolving team cognition (FETC) is proposed to examine the evolving context of an accident. An agent-based model (ABM) is developed to simulate how mental model disconnects are involved in evolving landing scenarios. The results of a simulation conducted with the ABM indicate that mental model disconnects occur more frequently as an aircraft approaches the terminal area. For landing scenarios in the outer area between 100 and 50 nautical miles (Nm), task-related mental model disconnects occur more frequently, causing incompatibility between parties. The incompatibility reveals the necessity of extra coordination to prevent the potential occurrence of system errors. As for the scenarios around the terminal area (30–15 Nm), the team-related mental model disconnects prevail, leading to passive information dissemination regarding changing conditions and late initiation of urgent coordination. The combination of these factors causes a team to miss the window for preventing an adverse event. |
| first_indexed | 2024-10-01T03:06:36Z |
| format | Journal Article |
| id | ntu-10356/161117 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:06:36Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | ntu-10356/1611172022-08-16T05:49:24Z Investigating the evolving context of an unstable approach in aviation from mental model disconnects with an agent-based model Lai, Hsueh-Yi Chen, Chun-Hsien Zheng, Pai Khoo, Li Pheng School of Mechanical and Aerospace Engineering Engineering::Aeronautical engineering Agent-Based Model Landing Safety Unstable approach is an adverse aviation event, and it is strongly related to the interaction between pilots and air traffic controllers (ATCOs). Mental model disconnects among team members can be a major cause of possible interaction conflicts and defective team cognition. Therefore, to study the negative effects of various mental model disconnects, a framework of evolving team cognition (FETC) is proposed to examine the evolving context of an accident. An agent-based model (ABM) is developed to simulate how mental model disconnects are involved in evolving landing scenarios. The results of a simulation conducted with the ABM indicate that mental model disconnects occur more frequently as an aircraft approaches the terminal area. For landing scenarios in the outer area between 100 and 50 nautical miles (Nm), task-related mental model disconnects occur more frequently, causing incompatibility between parties. The incompatibility reveals the necessity of extra coordination to prevent the potential occurrence of system errors. As for the scenarios around the terminal area (30–15 Nm), the team-related mental model disconnects prevail, leading to passive information dissemination regarding changing conditions and late initiation of urgent coordination. The combination of these factors causes a team to miss the window for preventing an adverse event. Nanyang Technological University This work was supported by the Air Traffic Management Research Institute, Nanyang Technological University, Singapore [grant number ATMRI:2014-R5-CHEN]. 2022-08-16T05:49:24Z 2022-08-16T05:49:24Z 2020 Journal Article Lai, H., Chen, C., Zheng, P. & Khoo, L. P. (2020). Investigating the evolving context of an unstable approach in aviation from mental model disconnects with an agent-based model. Reliability Engineering and System Safety, 193, 106657-. https://dx.doi.org/10.1016/j.ress.2019.106657 0951-8320 https://hdl.handle.net/10356/161117 10.1016/j.ress.2019.106657 2-s2.0-85072706288 193 106657 en ATMRI:2014-R5-CHEN Reliability Engineering and System Safety © 2019 Elsevier Ltd. All rights reserved. |
| spellingShingle | Engineering::Aeronautical engineering Agent-Based Model Landing Safety Lai, Hsueh-Yi Chen, Chun-Hsien Zheng, Pai Khoo, Li Pheng Investigating the evolving context of an unstable approach in aviation from mental model disconnects with an agent-based model |
| title | Investigating the evolving context of an unstable approach in aviation from mental model disconnects with an agent-based model |
| title_full | Investigating the evolving context of an unstable approach in aviation from mental model disconnects with an agent-based model |
| title_fullStr | Investigating the evolving context of an unstable approach in aviation from mental model disconnects with an agent-based model |
| title_full_unstemmed | Investigating the evolving context of an unstable approach in aviation from mental model disconnects with an agent-based model |
| title_short | Investigating the evolving context of an unstable approach in aviation from mental model disconnects with an agent-based model |
| title_sort | investigating the evolving context of an unstable approach in aviation from mental model disconnects with an agent based model |
| topic | Engineering::Aeronautical engineering Agent-Based Model Landing Safety |
| url | https://hdl.handle.net/10356/161117 |
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