Models of Human-Automation Systems: Initial Analysis of the Boeing 737MAX Design

We describe a formal approach to identifying human factor design vulnerabilities and usability concerns in the context of automated control systems. We present an initial analysis of the design of the B737MAX that has suffered two fatal accidents. We highlight two main design vulnerabilities and one usability concern. Key formal generic properties used to identify these vulnerabilities and usability concerns are defined. These generic properties, and others referenced in this paper, can be applied to the analysis of any human-automation system.

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Publication Details

Journal
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Published
2024-09-01
DOI
https://doi.org/10.1177/10711813241279805
Citations
1
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
0.64
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article

Models of Human-Automation Systems: Initial Analysis of the Boeing 737MAX Design

Randall J. Mumaw, Immanuel Barshi, Asaf Degani, Robert Mauro
1 citations
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Human-Automation Interaction and Safety
0.64
article

Models of Human-Automation Systems: Initial Analysis of the Boeing 737MAX Design

Randall J. Mumaw, Immanuel Barshi, Asaf Degani, Robert Mauro
article en
1 citations

Abstract

We describe a formal approach to identifying human factor design vulnerabilities and usability concerns in the context of automated control systems. We present an initial analysis of the design of the B737MAX that has suffered two fatal accidents. We highlight two main design vulnerabilities and one usability concern. Key formal generic properties used to identify these vulnerabilities and usability concerns are defined. These generic properties, and others referenced in this paper, can be applied to the analysis of any human-automation system.

Proceedings of the Human Factors and Ergonomics Society Annual MeetingVol. 68(1)
Ames Research Center (US), University of Oregon (US), Decision Research (US), San Jose State University (US)
Openalex Percentile: Top 27%
Human-Automation Interaction and Safety
0.64
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