Intelligent Adaptive Systems: An Interaction-Centered Design Perspective

Intelligent Adaptive Systems: An Interaction-Centered Design Perspective

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Overview

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.

Product Details

ISBN-13: 9781466517240
Publisher: Taylor & Francis
Publication date: 12/04/2014
Edition description: New Edition
Pages: 331
Product dimensions: 6.30(w) x 9.10(h) x 1.20(d)

About the Author

Dr. Ming Hou is a senior defence scientist at Defence Research and Development Canada (DRDC) Toronto, where he is responsible for providing science-based advice to the Canadian Armed Forces about the investment in and application of advanced technologies for human-machine systems requirements. His research interests include applied cognition, intelligent adaptive interface and systems design, human-technology/automation interaction, intelligent tutoring, and stereoscopic virtual and mixed reality displays. Dr. Hou is the Canadian National Leader of the Human Systems Performance Technical Panel for the Air in The Technical Cooperation Program (TTCP). He also serves several NATO working groups. Dr. Hou is a senior member of the Institute of Electrical and Electronics Engineers (IEEE), a member of the Human Factors and Ergonomics Society, and a member of the Association of Computing Machinery.

Dr. Simon Banbury is the owner and president of Looking Glass HF Inc., an independent Canadian-based human factors consultancy specializing in optimizing how people interact with technology. He is also a Professeur Associé of the School of Psychology at Université Laval (Canada) where he supervises PhD students and supports teamwork and medical decision making research. Dr. Banbury has almost twenty years of human factors consultancy and applied research experience in defence, industrial, and academic domains; he has worked as a human factors consultant in the defence and industrial sectors, as a lecturer of psychology at Cardiff University, and as a defence scientist for the United Kingdom’s Defence Evaluation and Research Agency (DERA).

Dr. Catherine Burns is a systems design engineering professor and the founding director of the Centre for Bioengineering and Biotechnology at the University of Waterloo (Canada). At Waterloo she also directs the Advanced Interface Design Lab. Her research examines user interface design, visualization, and cognitive work analysis and her work has been applied in military, healthcare, power plant control, and oil and gas refining domains. She regularly consults with companies in the areas of human performance in complex systems, interface design, and traditional human factors engineering. Dr. Burns has authored over 200 publications, co-authored a book on ecological interface design, and co-edited Applications of Cognitive Work Analysis. She has been the program chair for the Cognitive Engineering and Decision Making Technical Group of the Human Factors and Ergonomics Society and has been awarded both teaching and research excellence awards at the University of Waterloo.

Table of Contents

Understanding the Human–Machine System
Objectives
Defining Human–Machine System and Intelligent Adaptive System
Systems Design and Human–Machine Interaction
Common Causes of Poor Human–Machine Interaction
The Need for Consistent Human–Machine SystemsDesign Methodologies
Summary
References

THEORETICAL APPROACHES
An Overview of Intelligent Adaptive Systems
Objectives
The Evolution of Interface Technologies and the IAI Concept
The Evolution of Automation Technologies and the IAA Concept
Understanding Intelligent Adaptive Systems
Summary
References
A Conceptual Architecture for Intelligent Adaptive Systems
Objectives
Existing Conceptual Architectures
The Basic Anatomy of Intelligent Adaptive Systems
Summary
References

ANALYSIS AND DESIGN OF INTELLIGENT ADAPTIVE SYSTEMS

Analytical Techniques for IAS Design
Objectives
A Review of Common Analytical Techniques
A Review of Common Design Techniques
Creating a Hybrid Technique
Summary
References
Agent-Based, Interaction-Centered IAS Design
Objectives
Defining Agents in the Context of IAS Design
Benefiting from Agent-Based Approaches in IAS Design
Designing Agents
An Agent-Based, Interaction-Centered IAS DesignFramework
Summary
References
Operator State Monitoring Approaches
Objectives
Using Operator State Monitoring Approaches
Behavioral-Based Monitoring
Psychophysiological-Based Monitoring
Contextual-Based Monitoring
Subjective-Based Monitoring
Combination-Based Monitoring
An Example Combination-Based Monitoring System
Summary
References
Key Considerations for IAS Design
Objectives
Considering Design Constraints
Determining Operational Priorities
Considering Ethical, Legal, Social, and Cultural Issues
Determining Authority Roles
Determining Range of Adaptation
Determining Adaptation Triggers
Developing an Adaptation Taxonomy
Summary
References

PRACTICAL APPLICATIONS

Case Studies
Objectives
Designing an Uninhabited Aerial Vehicle Operator–Machine Interface
Designing an Intelligent Tutoring System
Summary
References

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