Field Performance Evaluation; Validation of Measurement System

Abstract

Optimal operator performance is critical for the functioning of many systems and especially for systems as complex as modern aircraft. However, direct measurements of operator performance to evaluate aviation systems and related subsystems can be difficult to obtain. Instead, human performance is usually inferred by observing its effects on the aircraft. To further aid in measuring performance, the operator is sometimes asked to provide a subjective rating of individual tasks. While subjective rating scales can provide valuable information, their interpretation can be limited by such factors as previous experience, selective memory, and expectations of the operators. Physiological data, however, can provide more direct measures of the internal state of the operator and, as such, can be a powerful tool for the evaluation of aviation systems. Keywords: Human factors engineering.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1990
Accession Number
ADA225549

Entities

People

  • Glenn Wilson

Organizations

  • United States Air Force School of Aerospace Medicine

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Space

DTIC Thesaurus Topics

  • Acquisition
  • Aerospace Medicine
  • Biomedical Research
  • Classification
  • Computers
  • Data Analysis
  • Data Reduction
  • Diagrams
  • Electrophysiological Phenomena
  • Hard Copy
  • Human Factors Engineering
  • Measurement
  • Monitoring
  • Schematic Diagrams
  • Security
  • Simulations
  • Simulators

Readers

  • Aviation Science / Aeronautics.
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference