Comparison of Hands-Free Versus Conventional Wearable Computer Control for Maintenance Applications

Abstract

Past research on wearable computers for maintenance applications has focused on developing displays and presentation formats. This study emphasized wearable computer control technologies. Alternative control technologies were compared with standard and voice controls. Twelve subjects performed a synthetic maintenance task using three control device combinations for three different types of input. Time and error data were collected. The results show that for pointer movement, standard controls took significantly longer than voice. For discrete input, standard controls required significantly more time than voice and alternative controls. However, there were no significant time differences among controllers for text entry fill-in. Error results showed no significant differences. This research suggests that alternative and voice controls provide similar performance levels and both are superior to standard controls. In environments with changing noise spectra and noise levels such as a flight line, the alternative control suite provides hands-free control that complements voice without sacrificing performance.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1999
Accession Number
ADA387933

Entities

People

  • Barbara J. Masquelier
  • Gloria L. Calhoun
  • Grant R. Mcmillan
  • Laurie L. Quill
  • Scott S. Grigsby

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Aircraft Maintenance
  • Automated Speech Recognition
  • Computers
  • Environment
  • Government Procurement
  • Governments
  • Human Factors Engineering
  • Human-Machine Interaction
  • Logistics
  • Maintenance
  • Military Research
  • Spectra
  • Standards
  • Wearable Computers
  • Wearable Technology

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Military Training and Readiness Simulation
  • Systems Analysis and Design