The B737 MAX 8 Accidents as Operational Experiences With Automation Transparency

Jamieson, Greg A.; Skraaning, Gyrd; Joe, Jeffrey C.

doi:10.1109/thms.2022.3164774

Title: The B737 MAX 8 Accidents as Operational Experiences With Automation Transparency

Journal Article · Tue Apr 19 00:00:00 EDT 2022 · IEEE Transactions on Human-Machine Systems

DOI:https://doi.org/10.1109/thms.2022.3164774· OSTI ID:1887172

^[1]; Skraaning, Gyrd ^[2];

^[3]

Univ. of Toronto, ON (Canada)
Institute for Energy Technology (IFE), Halden (Norway)
Idaho National Lab. (INL), Idaho Falls, ID (United States)

Automation transparency has come into prominence in the human-machine systems literature, with researchers offering definitions, models, design frameworks, and empirical findings. However, missing from the literature are reflections on the actual operational experiences of human crews interacting with intelligent automation conceived from multiple transparency perspectives. The Boeing 737 MAX 8 accidents present a tragic case of a catastrophic failure of automation transparency. We explore this case with an emphasis on extracting design and regulatory insights for the nuclear power and other safety-critical domains.

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Research Organization:: Idaho National Laboratory (INL), Idaho Falls, ID (United States)

Sponsoring Organization:: USDOE Office of Nuclear Energy (NE)

Grant/Contract Number:: AC07-05ID14517; 196543

OSTI ID:: 1887172

Report Number(s):: INL/JOU-21-64096-Rev000; TRN: US2309781

Journal Information:: IEEE Transactions on Human-Machine Systems, Vol. 52, Issue 4; ISSN 2168-2291

Publisher:: IEEECopyright Statement

Country of Publication:: United States

Language:: English

References (11)

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Designing Effective Human-Automation-Plant Interfaces: A Control-Theoretic Perspective Jamieson, Greg A.; Vicente, Kim J. Human Factors: The Journal of the Human Factors and Ergonomics Society, Vol. 47, Issue 1 https://doi.org/10.1518/0018720053653820	journal	March 2005
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The Harder They Fall? A Response to Wickens et al. (2019) Regarding the Generalizability of Lumberjack Predictions to Complex Work Settings Jamieson, Greg A.; Skraaning, Gyrd Human Factors: The Journal of the Human Factors and Ergonomics Society, Vol. 62, Issue 4 https://doi.org/10.1177/0018720820904623	journal	February 2020
Automation Stages & Levels, 20 Years After Wickens, Christopher Journal of Cognitive Engineering and Decision Making, Vol. 12, Issue 1 https://doi.org/10.1177/1555343417727438	journal	October 2017
Human Performance Benefits of The Automation Transparency Design Principle Skraaning, Gyrd; Jamieson, Greg A. Human Factors: The Journal of the Human Factors and Ergonomics Society, Vol. 63, Issue 3 https://doi.org/10.1177/0018720819887252	journal	December 2019
The ethics of information transparency Turilli, Matteo; Floridi, Luciano Ethics and Information Technology, Vol. 11, Issue 2 https://doi.org/10.1007/s10676-009-9187-9	journal	March 2009
Guest Editorial: Agent and System Transparency Chen, Jessie Y. C.; Flemisch, Frank Ole; Lyons, Joseph B. IEEE Transactions on Human-Machine Systems, Vol. 50, Issue 3 https://doi.org/10.1109/THMS.2020.2988835	journal	June 2020
Transpiring Interfaces: Turning Transparency on Its Head Ekbia, Hamid R. Third International Conference on Autonomic and Autonomous Systems (ICAS'07) https://doi.org/10.1109/CONIELECOMP.2007.112	conference	June 2007
A Review of Transparency (seeing-into) Models Rajabiyazdi, Fahimeh; Jamieson, Greg A. 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC) https://doi.org/10.1109/SMC42975.2020.9282970	conference	October 2020
Agent Transparency: A Review of Current Theory and Evidence Bhaskara, Adella; Skinner, Michael; Loft, Shayne IEEE Transactions on Human-Machine Systems, Vol. 50, Issue 3 https://doi.org/10.1109/THMS.2020.2965529	journal	June 2020

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99 GENERAL AND MISCELLANEOUS
aircraft display human factors
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Title: The B737 MAX 8 Accidents as Operational Experiences With Automation Transparency

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