The Effect of Input Device on User Performance With a Menu-Based Natural Language Interface

Abstract

Menu-Based Natural Language (MBNL) provides a form of constrained natural language dialogue for human-computer interaction where natural language words and phrases are displayed on the screen as menu items. Previous research on cursor devices has provided mixed results concerning the best cursor device and no firm recommendations were available for use with MBNL interfaces. This study was developed to determine the best input device for MBNL interfaces to Naval command and control databases. Results showed that search keys were slower than cursor keys and trackball. No-scrolling was faster than scrolling. Trackball was preferred, and was more quickly learned than cursor keys.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1988
Accession Number
ADA193095

Entities

People

  • J. J. Hendrickson
  • R. D. Williams

Organizations

  • Texas Instruments

Tags

Communities of Interest

  • C4I
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Analysis Of Variance
  • Application Software
  • Cognitive Systems Engineering
  • Command And Control
  • Computational Linguistics
  • Computer Programs
  • Computers
  • Databases
  • Downed Aircraft
  • Experimental Design
  • Grammars
  • Human-Computer Interaction
  • Instructions
  • Language
  • Linguistics
  • Natural Language Processing

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computer Science.
  • Organizational Psychology.

Technology Areas

  • Fully Networked C3
  • Fully Networked C3 - Command and Control