An Evaluation of the Spoken Language System Interface for the Voice-Activated Logistics Anchor Desk.

Abstract

This thesis is a preliminary study of the spoken language system (SLS) interface under development for the U.S. Army automated planning and asset visibility system called Logistics Anchor Desk (LAD). The purpose of the study is to determine whether or not there is advantage in the addition of an SLS interface capability to LAD's graphic user interface. One of the uses for automation tools in the military community is the analysis of quantifiable aspects of military operations as input to the military decision making process. This study looks at the potential impact an SLS interface can have on one of those tools given the current state of the art in speech based interface technology. Results of the test done with LAD comparing performance with and without the SLS interface indicate several advantages to be gained with the SLS interface. Most notably, participants were able to complete a routine set of tasks in one third the amount of time. Additionally, participants felt that the system was more usable and would require less user training time. Despite current limitations in the technology, speech based interface has clear potential for military application.

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Document Details

Document Type
Technical Report
Publication Date
Jun 07, 1996
Accession Number
ADA312420

Entities

People

  • Theron Bowman

Organizations

  • United States Army Command and General Staff College

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Automated Speech Recognition
  • Cognitive Systems Engineering
  • Computer Languages
  • Computer Programming
  • Computer Science
  • Control Systems
  • Graphical User Interface
  • Human Systems Integration
  • Human-Computer Interaction
  • Human-Computer Interfaces
  • Human-Machine Interfaces
  • Information Science
  • Information Systems
  • Logistics
  • Natural Language Processing
  • Test And Evaluation
  • User Interface

Fields of Study

  • Engineering

Readers

  • Database Systems and Applications
  • Speech Processing/Speech Recognition.
  • Systems Analysis and Design

Technology Areas

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