A Comparative Analysis of Methods for Tactical Data Inputting

Abstract

Nearly all information in tactical operations systems is input manually. Two problems that arise when manually inputting data are (a) the introduction of errors in translating information into computer format and (b) the introduction of a bottleneck in total system response time. Therefore, alternative methods of inputting data for accuracy and speed should be evaluated. Four methods were examined for speed and accuracy in inputting tactical messages concerning enemy activity into an Army computer format. The methods were (a) typing--the user types the appropriate codes into a message format; (b) typing with an error corrector--the computer automatically attempts to correct common spelling and/or typing errors; (c) menus--the user indicates which of the legal entries is desired from a list; and (d) typing with autocompletion and an English option--the user must type only sufficient characters to uniquely identify the item, using either the appropriate code or its English definition. The use of menus was the most accurate inputting method. For users of limited experience (1 day of inputting), there were no differences in speed among the inputting methods.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1978
Accession Number
ADA060562

Entities

People

  • Alison F. Fields
  • Charles F. Marshall
  • Richard E. Maisano

Organizations

  • U.S. Army Research Institute for the Behavioral and Social Sciences

Tags

Communities of Interest

  • Biomedical
  • Human Systems
  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Agreements
  • Analysis Of Variance
  • Battlefields
  • Biological Sciences
  • Computers
  • Errors
  • Experimental Design
  • Information Processing
  • Information Systems
  • Military Research
  • Motor Skills
  • Personality
  • Security
  • Social Sciences
  • Text Messaging
  • Training

Readers

  • Approximation Theory.
  • Computational Linguistics
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.