Intelligent Adaptive Systems: An Interaction-Centered Design Perspective

1st Edition

Ming Hou, Simon Banbury, Catherine Burns

CRC Press
Published October 12, 2017
Reference - 331 Pages - 85 B/W Illustrations
ISBN 9781138747784 - CAT# K32592


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  • Integrates theories and methodologies from human factors and human–computer interaction to provide design guidelines and recommendations
  • Promotes a strong interaction-centered approach with a coherent framework and systematic methods for designing an intelligent adaptive system
  • Provides a road map for all steps in systems design process including conception, analysis, design, and implementation with consideration of most aspects of a design project
  • Discusses factors affecting human–machine interactions including human, machine, tasks, and working environment
  • Includes worked examples that illustrate how conceptual architecture, analytical techniques, design methods, operator state monitoring approaches, and implementation guidelines were followed


As ubiquitous as the atmosphere, intelligent adaptive systems (IASs) surround us in our daily lives. When designed well, these systems sense users and their environments so that they can provide support in a manner that is not only responsive to the evolving situation, but unnoticed by the user. A synthesis of recent research and developments on IASs from the human factors (HF) and human–computer interaction (HCI) domains, Intelligent Adaptive Systems: An Interaction-Centered Design Perspective provides integrated design guidance and recommendations for researchers and system developers.

The book explores a recognized lack of integration between the HF and HCI research communities, which has led to inconsistencies between the research approaches adopted, and a lack of exploitation of research from one field by the other. The authors integrate theories and methodologies from these domains to provide design recommendations for human–machine developers. They then establish design guidance through the review of conceptual frameworks, analytical methodologies, and design processes for intelligent adaptive systems. The book draws on case studies from the military, medical, and distance learning domains to illustrate intelligent system design to examine lessons learned.

Outlining an interaction-centered perspective for designing an IAS, the book details methodologies for understanding human work in complex environments and offers understanding about why and how optimizing human–machine interaction should be central to the design of IASs. The authors present an analytical and design methodology as well as an implementation strategy that helps you choose the proper design framework for your needs.

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