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Book Description

Assistive Technology Design for Intelligence Augmentation presents a series of frameworks, perspectives, and design guidelines drawn from disciplines spanning urban design, artificial intelligence, sociology, and new forms of collaborative work, as well as the author's experience in designing systems for people with cognitive disabilities. Many of the topics explored came from the author's graduate studies at the Center for LifeLong Learning and Design, part of the Department of Computer Science and the Institute of Cognitive Science at the University of Colorado, Boulder. The members of the Center for LifeLong Learning and Design came from a wide range of design perspectives including computer science, molecular biology, journalism, architecture, assistive technology (AT), urban design, sociology, and psychology. The main emphasis of this book is to provide leverage for understanding the problems that the AT designer faces rather than facilitating the design process itself. Looking at the designer's task with these lenses often changes the nature of the problem to be solved. The main body of this book consists of a series of short chapters describing a particular approach, its applicability and relevance to design for intelligence augmentation in complex computationally supported systems, and examples in research and the marketplace. The final part of the book consists of listing source documents for each of the topics and a reading list for further exploration. This book provides an introduction to perspectives and frameworks that are not commonly taught in presentations of AT design which may also provide valuable design insights to general human-computer interaction and computer-supported cooperative work researchers and practitioners.

Table of Contents

  1. Cover
  2. Half title
  3. Copyright
  4. Title
  5. Contents
  6. Figure Credits
  7. List of Abbreviations
  8. Acknowledgments
  9. Preface
  10. Part 1
    1. 1 Introduction
      1. 1.1 Lay of the Land
      2. 1.2 Assistive Technology (AT): Adoption and Abandonment
      3. 1.3 Assistive Technology and the Toolkit
      4. 1.4 Elements of the Toolkit
      5. 1.5 How to Use this Book
  11. Part 2
    1. 2 Fundamentals
      1. 2.1 Artificial Intelligence (AI) → Intelligence Augmentation (IA)
        1. 2.1.1 Canonical Paper
        2. 2.1.2 AT Examples
        3. 2.1.3 Conclusion
      2. 2.2 Design for Failure
        1. 2.2.1 Introduction
        2. 2.2.2 Domain Background
        3. 2.2.3 Background
        4. 2.2.4 Error
        5. 2.2.5 Intelligence Augmentation
        6. 2.2.6 Canonical Paper
        7. 2.2.7 AT Examples
        8. 2.2.8 Conclusion
      3. 2.3 Distributed Cognition
        1. 2.3.1 Examples of DC in Our Daily Life and Marks of DC
        2. 2.3.2 Canonical Paper
        3. 2.3.3 AT Examples
        4. 2.3.4 External and Internal Scripts
        5. 2.3.5 Conclusion
      4. 2.4 Scaffolding
        1. 2.4.1 Canonical Papers
        2. 2.4.2 AT Design Examples
        3. 2.4.3 Conclusion
      5. 2.5 Situated Action/Cognition
        1. 2.5.1 Canonical Paper
        2. 2.5.2 AT Examples
        3. 2.5.3 Conclusion
      6. 2.6 Socio-technical Environments
        1. 2.6.1 Canonical Paper
        2. 2.6.2 AT Examples
        3. 2.6.3 Conclusion
      7. 2.7 Universe of One
        1. 2.7.1 Canonical Papers
        2. 2.7.2 AT Example
        3. 2.7.3 Conclusion
      8. 2.8 Wicked Problems
        1. 2.8.1 Canonical Paper
        2. 2.8.2 AT Examples
        3. 2.8.3 Conclusion
    2. 3 Models
      1. 3.1 Dyads
        1. 3.1.1 Canonical Paper
        2. 3.1.2 AT Examples
        3. 3.1.3 The ASSISTANT System
        4. 3.1.4 Conclusion
      2. 3.2 The Importance of Representation
        1. 3.2.1 Canonical Paper
        2. 3.2.2 AT Example
        3. 3.2.3 Conclusion
      3. 3.3 Tools for Living and Tools for Learning
        1. 3.3.1 Tools for Learning
        2. 3.3.2 Canonical Paper
        3. 3.3.3 AT Examples
        4. 3.3.4 Conclusion
    3. 4 Technique
      1. 4.1 Plans and Actions
        1. 4.1.1 Canonical Paper
        2. 4.1.2 AT Design Examples
        3. 4.1.3 Conclusion
      2. 4.2 Low-Hanging Fruit
        1. 4.2.1 Canonical Paper
        2. 4.2.2 AT Example
        3. 4.2.3 Conclusion
      3. 4.3 MetaDesign
        1. 4.3.1 Canonical Paper
        2. 4.3.2 AT Example
        3. 4.3.3 Conclusion
      4. 4.4 Personalization
        1. 4.4.1 Canonical Papers
        2. 4.4.2 AT Design Examples
        3. 4.4.3 Conclusion
      5. 4.5 Symmetry of Ignorance
        1. 4.5.1 Canonical Paper
        2. 4.5.2 AT Examples
        3. 4.5.3 Conclusion
    4. 5 Things to Avoid
      1. 5.1 Diagnosis and Functionality
        1. 5.1.1 Design with Diagnosis
        2. 5.1.2 Canonical Paper
        3. 5.1.3 AT Design Examples
      2. 5.2 I Have a Theory; I Have a Cousin
        1. 5.2.1 Theory
        2. 5.2.2 Cousin
        3. 5.2.3 Canonical Paper
        4. 5.2.4 AT Examples
        5. 5.2.5 Conclusions
      3. 5.3 Islands Of Ability
        1. 5.3.1 Canonical Paper
        2. 5.3.2 AT Design Examples
  12. Part 3: Further Study
    1. 6 Source Documents for Each Idea
      1. 6.1 Artificial Intelligence (AI) Intelligence Augmentation (IA)
      2. 6.2 Design for Failure
      3. 6.3 Distributed Cognition
      4. 6.4 Scaffolding
      5. 6.5 Situated Action/Cognition
      6. 6.6 Socio-technical Environments
      7. 6.7 Universe of One
      8. 6.8 Wicked Problems
      9. 6.9 Dyads
      10. 6.10 Importance of Representation
      11. 6.11 Tools for Living and Tools for Learning
      12. 6.12 Plans and Actions
      13. 6.13 Low-Hanging Fruit
      14. 6.14 MetaDesign
      15. 6.15 Personalization
      16. 6.16 Symmetry of Ignorance
      17. 6.17 Diagnosis and Functionality
      18. 6.18 I Have a Theory; I Have a Cousin
      19. 6.19 Islands of Ability
    2. 7 Conclusion
  13. Bibliography
  14. Author Biography
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