Dynamic decision-making of airline pilots in low-fidelity simulation
(2021) In Theoretical Issues in Ergonomics Science 22(1). p.83-102- Abstract
Dynamic decision-making in aviation involves complex problem solving in a dynamic environment characterized by goal conflicts and time constrains. Training mostly focuses on testing domain-specific knowledge and skills that may result in context-specific rather than general problem-solving skills. A low-fidelity decision-making simulation may favour the understanding of the decision process rather than the decision outcome alone. We investigated airline pilots’ decision-making strategies and task performance through the use of the low-fidelity computer simulation (microworld) COLDSTORE, a non-linear, opaque, time-delayed task. Almost thirty percent of pilots adapted (Adaptors) to the task’s demands, reaching the desired objective. About... (More)
Dynamic decision-making in aviation involves complex problem solving in a dynamic environment characterized by goal conflicts and time constrains. Training mostly focuses on testing domain-specific knowledge and skills that may result in context-specific rather than general problem-solving skills. A low-fidelity decision-making simulation may favour the understanding of the decision process rather than the decision outcome alone. We investigated airline pilots’ decision-making strategies and task performance through the use of the low-fidelity computer simulation (microworld) COLDSTORE, a non-linear, opaque, time-delayed task. Almost thirty percent of pilots adapted (Adaptors) to the task’s demands, reaching the desired objective. About thirty five percent of pilots approached the task using a cautious strategy (Cautious). However, the success rates in reaching the task’s objective revealed that performance was compromised for the cautious group. A changing (Changers) and oscillating (Oscillators) approach was also observed. More experienced pilots differed from least experienced pilots in strategy and performance adopted. We suggest that low-fidelity dynamic decision-making simulations offer an environment for practicing and understanding the decision-making process. That may contribute to pilots’ ability to coordinate monitoring, recognition, planning, judgement and choice when acting under flight environment time constraints.
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- author
- Rosa, Eduardo ; Dahlstrom, Nicklas LU ; Knez, Igor ; Ljung, Robert ; Cameron, Mark and Willander, Johan
- organization
- publishing date
- 2021
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- airline pilots, Dynamic decision-making, instance-based learning theory, low-fidelity simulations, microworlds
- in
- Theoretical Issues in Ergonomics Science
- volume
- 22
- issue
- 1
- pages
- 83 - 102
- publisher
- Taylor & Francis
- external identifiers
-
- scopus:85085489936
- ISSN
- 1463-922X
- DOI
- 10.1080/1463922X.2020.1758830
- language
- English
- LU publication?
- yes
- id
- d8ff52f4-c42b-4cb8-95da-bab94b79242b
- date added to LUP
- 2020-06-12 14:31:27
- date last changed
- 2022-04-18 22:48:59
@article{d8ff52f4-c42b-4cb8-95da-bab94b79242b,
abstract = {{<p>Dynamic decision-making in aviation involves complex problem solving in a dynamic environment characterized by goal conflicts and time constrains. Training mostly focuses on testing domain-specific knowledge and skills that may result in context-specific rather than general problem-solving skills. A low-fidelity decision-making simulation may favour the understanding of the decision process rather than the decision outcome alone. We investigated airline pilots’ decision-making strategies and task performance through the use of the low-fidelity computer simulation (microworld) COLDSTORE, a non-linear, opaque, time-delayed task. Almost thirty percent of pilots adapted (Adaptors) to the task’s demands, reaching the desired objective. About thirty five percent of pilots approached the task using a cautious strategy (Cautious). However, the success rates in reaching the task’s objective revealed that performance was compromised for the cautious group. A changing (Changers) and oscillating (Oscillators) approach was also observed. More experienced pilots differed from least experienced pilots in strategy and performance adopted. We suggest that low-fidelity dynamic decision-making simulations offer an environment for practicing and understanding the decision-making process. That may contribute to pilots’ ability to coordinate monitoring, recognition, planning, judgement and choice when acting under flight environment time constraints.</p>}},
author = {{Rosa, Eduardo and Dahlstrom, Nicklas and Knez, Igor and Ljung, Robert and Cameron, Mark and Willander, Johan}},
issn = {{1463-922X}},
keywords = {{airline pilots; Dynamic decision-making; instance-based learning theory; low-fidelity simulations; microworlds}},
language = {{eng}},
number = {{1}},
pages = {{83--102}},
publisher = {{Taylor & Francis}},
series = {{Theoretical Issues in Ergonomics Science}},
title = {{Dynamic decision-making of airline pilots in low-fidelity simulation}},
url = {{http://dx.doi.org/10.1080/1463922X.2020.1758830}},
doi = {{10.1080/1463922X.2020.1758830}},
volume = {{22}},
year = {{2021}},
}