Human Performance-Based Measurement System

Abstract

Fatigue, stress, cognitive overload, and other factors cause errors as human operators perform task operations. The goal of this project was to develop, implement, and test a comprehensive system for measuring and analyzing human performance related data. Applications include basic psychophysiological research, evaluation of computer interfaces, evaluation of other task processes, and real time performance monitoring. The developed system combines measurement and analysis of psychological, physiological, and performance measures into a single system. The combination and correlation of these three factors provides for a more robust and accurate assessment of total human performance. The development effort built off a strong foundation of prior research and development efforts for networked data collection, physiological monitoring, eye tracking, operator workload modeling, and advanced human computer interfaces. The developed software system allows for synchronized collection of data from any number of networked devices and provides an array of signal analysis and display tools to support total performance assessment. The Phase 2 effort developed and implemented the human performance based measurement system and validated operation through a series of performance assessment experiments. The resulting system offers a comprehensive tool set for a wide range of human performance studies and related applications.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 28, 1999
Accession Number
ADA373062

Entities

People

  • Eric Lichtenstein
  • Glenn Le Prell
  • Jeff Braun
  • Joe Lomg
  • Martha Henry

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Human Systems
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Brain
  • Cardiovascular Physiological Phenomena
  • Cognition
  • Cognitive Workload
  • Computational Science
  • Computers
  • Health Services
  • Human Factors Engineering
  • Information Processing
  • Information Science
  • Medical Personnel
  • Physiological Monitoring
  • Psychology

Fields of Study

  • Computer science

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Systems Analysis and Design