Twenty pilots with instrument flight ratings were asked to perform a fault-diagnosis task for which they had relevant domain knowledge. The pilots were asked to think out loud as they requested and interpreted information. Performances were then modeled as the activation atld use of a frame system. Cognitive biases, memory distortions and losses, and failures to correctly diagnose the problem were studied in the context of this frame system model
Background: The Human Factors Analysis and Classification System (HFACS) is a general human error fr...
This project examined the application of intelligent cockpit systems to aid air transport pilots at ...
Over the last several decades, humans have played a progressively more important causal role in avia...
This paper presents a cognitive modelling approach to predict pilot errors and error recovery during...
This paper presents a cognitive modelling approach to predict pilot errors and error recovery during...
It is now possible - and important - to develop systems to help resolve Flight Control System (FCS) ...
This paper describes an integrated design and implementation framework for cognitive models in compl...
We examined the utility of two conceptual taxonomies of human error in describing and explaining the...
Memory errors in the cockpit are often detected before they have negative consequences, but have als...
The objective of the research in this area of fault management is to develop and implement a decisio...
A supporting investigation of human operator errors is discussed. Existing classification systems (t...
Objective: Aviation accidents have been reduced substantially by training pilots to avoid high-risk ...
Within aviation, a human error classification system theoretically allows researchers to analyse pos...
Motivation To analyse human errors and determine the underlying reason for these errors, in particul...
The accident causation model used by the U.S. Navy and Marine Corps in aircraft mishap investigation...
Background: The Human Factors Analysis and Classification System (HFACS) is a general human error fr...
This project examined the application of intelligent cockpit systems to aid air transport pilots at ...
Over the last several decades, humans have played a progressively more important causal role in avia...
This paper presents a cognitive modelling approach to predict pilot errors and error recovery during...
This paper presents a cognitive modelling approach to predict pilot errors and error recovery during...
It is now possible - and important - to develop systems to help resolve Flight Control System (FCS) ...
This paper describes an integrated design and implementation framework for cognitive models in compl...
We examined the utility of two conceptual taxonomies of human error in describing and explaining the...
Memory errors in the cockpit are often detected before they have negative consequences, but have als...
The objective of the research in this area of fault management is to develop and implement a decisio...
A supporting investigation of human operator errors is discussed. Existing classification systems (t...
Objective: Aviation accidents have been reduced substantially by training pilots to avoid high-risk ...
Within aviation, a human error classification system theoretically allows researchers to analyse pos...
Motivation To analyse human errors and determine the underlying reason for these errors, in particul...
The accident causation model used by the U.S. Navy and Marine Corps in aircraft mishap investigation...
Background: The Human Factors Analysis and Classification System (HFACS) is a general human error fr...
This project examined the application of intelligent cockpit systems to aid air transport pilots at ...
Over the last several decades, humans have played a progressively more important causal role in avia...