Systematic Procedural Error

Abstract

Even when executing routine procedures with relatively simple devices, people make nonrandom errors. Consequences range from the trivial to the fatal, with Navy personnel often operating at the more extreme end of this range. This problem has received surprisingly little attention from cognitive psychologists. The research summarized here examines such errors in some detail both empirically and through computational cognitive modeling. There were several key results. First, many such errors are sensitive not just to the structure of the task but also to the layout of controls and displays, contrary to the predictions of most current task analysis frameworks. Some such errors seem to be mitigable by simple layout changes. Second, a particularly pervasive error (termed postcompletion error) was found to be highly resistant to cue-based mitigation, and though an effective cue was found, the requirements for such cues are difficult to meet in field contexts. Finally, cognitive computational models constructed using the ACT-R cognitive architecture suggested that certain interface manipulations (removing state information, adding additional extraneous controls) which appeared major would actually have limited impact on human task performance, and these predictions were validated empirically.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2006
Accession Number
ADA444067

Entities

People

  • Michael D. Byrne

Organizations

  • Rice University

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Cognitive Science
  • Cognitive Systems Engineering
  • Command And Control
  • Computers
  • Department Of Defense
  • Failure Mode And Effect Analysis
  • Human Factors Engineering
  • Human Systems Integration
  • Human-Computer Interaction
  • Human-Machine Interfaces
  • Motor Skills
  • New York
  • Psychology
  • Standards
  • Task Performance And Analysis
  • Technology Transfer
  • User Interface

Readers

  • Computational Modeling and Simulation
  • Regression Analysis.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.