Selecting Human Error Types for Cognitive Modelling and Simulation

Abstract

This paper presents a method that has enabled us to make a selection of error types and error production mechanisms relevant to the HUMAN European project, and discusses the reasons underlying those choices. We claim that this method has the advantage that it is very exhaustive in determining the relevant error types and error production mechanisms, and that the final objects are selected according to explicit requirements, without missing relevant error types and error production mechanisms.

Experiences from Using Formal Verification Techniques to Analyze Human-Machine Interaction: A Case Study

“…For the current study we did not use an explicit description of a mental model. The third kind of influence factors are Error Production Mechanisms (EPMs) [9]. EPMs are incorporated into the iSAT model by modifying the nominal task (or mental) model.…”

Flexible Design and Implementation of Cognitive Models for Predicting Pilot Errors in Cockpit Design

“…Which of the active goals will be selected to be executed is determined by the goal-prioritization mechanism. In the human factors analysis phase of the cognitive engineering method, we identified Cognitive Lockup (see [4]) as a relevant error producing mechanism (EPM). In the decision-making module, we have modeled this by introducing task switch costs (TSC) representing the difference that goal priorities must have before switching goals.…”

Human Factors in Software Reliability Engineering

“…There are a number of approaches in this field. For exam-ple, [16] introduces a method for selection of error types and error production mechanisms. A review on the strategies for the human factor taxonomies is presented in [2].…”