Comparison of Alphanumeric Data Entry Methods for Advanced Helicopter Cockpits.

Abstract

In this study, three methods of data entry were compared for entering navigation coordinate sets: a) connected-word voice recognition, b) keyboard, and c) thumb-controlled switch. The subjects, 12 active Army aviators, entered the data as a sole task and also while flying a helicopter simulator equipped with a computer-generated, external scene. The different data entry methods were compared for time to enter the data, for errors, and for the effect on flight performance. Results showed that the keyboard was faster and resulted in fewer errors than the other two data entry methods. The time to enter data by voice was increased by the high nonrecognition rate (12 percent) and the error correction procedure. An overall 81 percent recognition accuracy rate was achieved in this study, with individual rates varying from 58 percent to 99 percent. Based on a subjective questionnaire, the majority of subjects still preferred to enter data by voice. Keywords: Controls and displays; Speech recognition; Pilot workload, Human factors; Helicopter.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1987
Accession Number
ADA186934

Entities

People

  • Frank J. Malkin
  • Kathleen A. Christ

Organizations

  • Human Engineering Laboratory

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Aircraft Equipment
  • Aircrafts
  • Alphanumeric Data
  • Automated Speech Recognition
  • Engineering
  • Flight Paths
  • Helicopters
  • Human Factors Engineering
  • Multivariate Analysis
  • Navigation
  • Recognition
  • Rotary Wing Aircraft
  • Simulators
  • Statistical Analysis
  • Statistics
  • Training
  • Workload

Readers

  • Aviation Safety Risk Assessment.
  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Speech Processing/Speech Recognition.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Bayesian Inference