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Design Vulnerabilities and Design Assumptions in Automated Systems: The Case of the B737 MAX Original MCAS Design

Year: 2026

Type: article

Source: Journal of Cognitive Engineering and Decision Making

DOI: 10.1177/15553434261490975

Authors: Immanuel Barshi, Asaf Degani, Robert Mauro, Randall J. Mumaw

Institutions: Ames Research Center, General Motors (United States), University of Oregon, San Jose State University

Language: English

Topic: Human-Automation Interaction and Safety

Subfield: Human Factors and Ergonomics

Field: Social Sciences

Domain: Social Sciences

Open Access status: closed

OpenAlex ID: W7225464035

FWCI:

Cites: 9

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Related to: 10