Psychomotor and Perceptual Speed Abilities and Skilled Performance.

Abstract

The research in this project was aimed at three broad approaches to development and assessment of psychomotor and perceptual speed ability predictors of skilled performance. The first approach takes advantage of computerized touch-panel devices for assessment of a series of psychomotor abilities. The second approach links individual differences in psychomotor abilities with perceptual speed abilities -- which have been shown to be important predictors of the acquisition of skilled performance. The third approach evaluates the new test battery for predicting individual differences in task performance. For this project, seven touch-panel computerized psychomotor tests were developed, as follows: (1) Tapping and Alternate Tapping; (2) Choice Reaction Time; (3) Serial Reaction Time; (4) Maze Tracing; (5) Mirror Tracing; (6) Maze Pursuit; and (7) Rotary Pursuit. These new psychomotor tests, along with a taxonomically derived set of perceptual speed tests, were subjected to empirical evaluation in a series of experiments. The new tests show substantial promise in accounting for important sources of performance variance, as indicated from validation with basic skill and complex task performance criteria.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1999
Accession Number
ADA360448

Entities

People

  • Philip L. Ackerman

Organizations

  • Georgia Tech Research Corporation

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Acquisition
  • Air Force
  • Applied Psychology
  • Cognition
  • Computer Programming
  • Computers
  • Human Factors Engineering
  • Information Processing
  • Information Science
  • Motor Skills
  • Operating Systems
  • Pattern Recognition
  • Psychology
  • Reaction Time
  • Second World War
  • Task Performance And Analysis
  • Test And Evaluation

Fields of Study

  • Psychology

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Computational Modeling and Simulation