지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2021.12
- 수록면
- 425 - 441 (17page)
- DOI
- 10.5143/JESK.2021.40.6.425
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초록· 키워드
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Objective: The aim of this study is to provide experimental evidence for the problem of complacency when using the AFCS (Automatic Flight Control System) of KUH-1 and suggest ways to prevent it.
Background: With the introduction of the modern cockpit automation systems, the risk of complacency effect has increased. Many studies have been conducted on the complacency, but no experimental studies have investigated the complacency in the actual aviation domain using autopilot. In this study, the impact of trust and expertise on monitoring behavior and the impact of monitoring behavior on flight performance are investigated. Automation induced complacency is inferred as a consequence of monitoring behavior.
Method: In the KUH-1 simulator, 19 pilots flew in the traffic pattern. During the flight, monitoring behavior data were collected with an eye-tracker, and flight performance was measured by whether to be off course and the action time in case of AFCS failure. Trust in AFCS was measured by a questionnaire.
Results: Trust in AFCS did not affect monitoring behavior in the entire sample. But trust induced different monitoring behavior depending on the expertise. Pilots who were off course focused longer on the secondary task at once. The action time in AFCS failure was significantly related to the proportion of total dwell time in the secondary task and the pilots" flight hours.
Conclusion: The complacency can occur to both experts and novices, and can put them in a dangerous situation. Having a high level of manual flight skills and expertise, calibrating trust to an appropriate level, putting aircraft control as a top priority, and maintaining situation awareness through sufficient monitoring and transition between tasks will be ways to prevent and respond to complacency.
Application: This result can be used as an initial empirical study on the interaction between the automation system and helicopter pilots, and will be a basic study to safely operate the cockpit automation system at army aviation of Korea.
Background: With the introduction of the modern cockpit automation systems, the risk of complacency effect has increased. Many studies have been conducted on the complacency, but no experimental studies have investigated the complacency in the actual aviation domain using autopilot. In this study, the impact of trust and expertise on monitoring behavior and the impact of monitoring behavior on flight performance are investigated. Automation induced complacency is inferred as a consequence of monitoring behavior.
Method: In the KUH-1 simulator, 19 pilots flew in the traffic pattern. During the flight, monitoring behavior data were collected with an eye-tracker, and flight performance was measured by whether to be off course and the action time in case of AFCS failure. Trust in AFCS was measured by a questionnaire.
Results: Trust in AFCS did not affect monitoring behavior in the entire sample. But trust induced different monitoring behavior depending on the expertise. Pilots who were off course focused longer on the secondary task at once. The action time in AFCS failure was significantly related to the proportion of total dwell time in the secondary task and the pilots" flight hours.
Conclusion: The complacency can occur to both experts and novices, and can put them in a dangerous situation. Having a high level of manual flight skills and expertise, calibrating trust to an appropriate level, putting aircraft control as a top priority, and maintaining situation awareness through sufficient monitoring and transition between tasks will be ways to prevent and respond to complacency.
Application: This result can be used as an initial empirical study on the interaction between the automation system and helicopter pilots, and will be a basic study to safely operate the cockpit automation system at army aviation of Korea.
목차
1. Introduction
2. Literature Review
3. Method
4. Results
5. Discussion and Conclusion
References
참고문헌 (48)
참고문헌 신청
Azevedo-Sa, H. / 2020 / Real-time estimation of drivers' trust in automated driving systems / International Journal of Social Robotics :1~17
Bahner, J. E. / 2008 / Misuse of automated decision aids: Complacency, automation bias and the impact of training experience / International Journal of Human-Computer Studies 66(9):688~699
Bailey, N. R. / 2007 / Automation-induced complacency for monitoring highly reliable systems: the role of task complexity, system experience, and operator trust / Theoretical Issues in Ergonomics Science 8(4):321~348
Bellenkes, A. H. / 1997 / Visual scanning and pilot expertise: the role of attentional flexibility and mental model development / Aviation, Space, and Environmental Medicine
Bigelow, P. / 2021 / LEARNING BY DEADLY EXAMPLE: Aviation disasters offer valuable lessons for auto industry about the dangers of "automation complacency" / Automotive News, 95(6987) :S024
Bahner, J. E. / 2008 / Misuse of automated decision aids: Complacency, automation bias and the impact of training experience / International Journal of Human-Computer Studies 66(9):688~699
Bailey, N. R. / 2007 / Automation-induced complacency for monitoring highly reliable systems: the role of task complexity, system experience, and operator trust / Theoretical Issues in Ergonomics Science 8(4):321~348
Bellenkes, A. H. / 1997 / Visual scanning and pilot expertise: the role of attentional flexibility and mental model development / Aviation, Space, and Environmental Medicine
Bigelow, P. / 2021 / LEARNING BY DEADLY EXAMPLE: Aviation disasters offer valuable lessons for auto industry about the dangers of "automation complacency" / Automotive News, 95(6987) :S024
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