A HUMAN ERROR APPROACH TO AVIATION ACCIDENT ANALYSIS

By Douglas A. Wiegmann, S. Shappell. 2003

989 citations recorded by the source corpus.

Subfields: Radiological and Ultrasound Technology, Social Psychology, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/167c752d9944f402f6184d879cb6fecb70aa7e34

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Citations in the corpus

Workplace safety (2016, background): “Alternatively, the human factors literature has developed more nuanced conceptualizations of safety-related behaviors that could be useful in establishing greater specificity in future workplace assessments (e.g., Rasmussen, 1983; Reason, 1990; Wiegmann & Shappell, 2003).”
Human Error and Commercial Aviation Accidents: An Analysis Using the Human Factors Analysis and Classification System (2007, background): “Previous investigations of GA accidents have shown distinct differences in the pattern of human error associated with fatal and nonfatal aviation accidents (Shappell & Wiegmann, 2003a, 2003b; Wiegmann & Shappell, 2003).”
Startups’ Roads to Failure (2018, methodology): “Although different models are applied to aviation safety, such as the Domino [47], the Swiss Cheese [48], the Human Factors Analysis and Classification System (HFACS) [49] and the Systemic Occurrence Analysis Methodology (SOAM) [50], the SHELL concept remains the most widely used because of its simp”
Why trust an algorithm? Performance, cognition, and neurophysiology (2018, background): “At the same time, human error contributes to 70% of aviation accidents (Shappell & Wiegmann, 2012); to 75% of roadway crashes (Stanton & Salmon, 2009); and is a major cause of preventable death in hospitals (Makary & Daniel, 2016).”
SEIPS 2.0: A human factors framework for studying and improving the work of healthcare professionals and patients (2013, background): “This might result in identifying common factors and, more importantly, common interactions and configurations across multiple safety events (Wiegmann & Shappell, 2003).”
Advancing socio-technical systems thinking: a call for bravery. (2014, methodology): “…for applying a socio-technical mindset to such circumstances have been developed, for instance, the Human Factors Analysis and Classification System (HFACS, Wiegmann and Shappell, 2003), Systems Theoretic Accident Modeling and Process model (STAMP, Leveson, 2004), and Accimap (Rasmussen, 1997).”
Human error taxonomies applied to driving: A generic driver error taxonomy and its implications for intelligent transport systems (2009, methodology): “Investigation into the construct has led to the development of error focused accident investigation and analysis techniques, such as the human factors analysis and classification system (HFACS;Wiegmann and Shappell, 2003), human error identification techniques, such as the human error template (HET;”