Intelligent Adaptive Systems: Literature Research of Design Guidance for Intelligent Adaptive Automation and Interfaces

Abstract

Human-machine system performance can be significantly improved by using technologies that can intelligently adapt the operator machine interface (OMI) and/or task automation provided to the operator in accordance with both the external context (i.e., task environment) and internal context (i.e., operator state). However, a lack of established design guidelines presents a significant challenge to the effective design of Intelligent Adaptive Systems (IASs). An extensive literature review was conducted to examine existing approaches to the design of IASs, and a unified framework was developed to describe these design approaches using consistent and unambiguous terminology. Combining design methodologies from both Human Computer Interaction (HCI) and Human Factors (HF) fields, conceptual and design frameworks were also developed to provide guidelines for the design and implementation of IASs. Finally, a number of criteria that can be used to select appropriate analytical techniques and design approaches were also developed. The proposed frameworks not only provide guidelines for designing IASs in the military domain, but also guide the design of other generic systems to optimize human-machine system performance.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2007
Accession Number
ADA480211

Entities

People

  • Andrea Scipione
  • Michelle Gauthier
  • Ming Hou
  • Simon Banbury

Organizations

  • DRDC Toronto

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Electronic Warfare
  • Engineered Resilient Systems
  • Human Systems
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Cognition
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Computational Science
  • Computer Languages
  • Computer Programming
  • Computers
  • Control Systems
  • Human Factors Engineering
  • Human Systems Integration
  • Human-Computer Interaction
  • Human-Machine Interaction
  • Human-Machine Interfaces
  • Human-Machine Systems
  • Information Systems
  • Organizational Structure
  • Psychology

Fields of Study

  • Computer science

Readers

  • Software Engineering.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.