Technology Transfer and Artificial Intelligence.

Abstract

The purpose of this study was to identify critical user acceptance issues in applying artificial intelligence (AI) technology (e.g., expert systems) to military decision aids, and to develop a technology transfer plan. The application of new technology does not necessarily yield a good product, and even good products do not necessarily succeed on their own merits. Product development and introduction must consider the perspectives of potential users, especially when use of the innovation can be regarded as optional. The officers generally expressed optimism about the potential value of AI. However, negative beliefs held by many officers need to be considered carefully. A number of general design issues were identified, and several man-machine interface preferences were determined, including the desire for: display of historical data on request; use of probability estimates; embedded training and on-line tutorial; auto mode settings with user override; easy updating; suggestive rather than authoritative output; and brief rather than conversational output. A technology transfer plan based on the findings of this study is presented which stresses communications with potential users, involvement of users in design, design for acceptance, and demonstration.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1985
Accession Number
ADA166035

Entities

People

  • C. D. Wylie
  • Robert R. Mackie

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • C4I
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Cognitive Workload
  • Computer Programs
  • Computer Science
  • Computers
  • Control Systems
  • Databases
  • Employment
  • Expert Systems
  • Health Services
  • Information Science
  • Military Organizations
  • Naval Personnel
  • Personnel Management
  • Statistical Analysis
  • Test And Evaluation
  • Warfare

Readers

  • Instructional Design and Training Evaluation.
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy