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Designing Agentive Technology, 1st Edition

Book Description

Advances in narrow artificial intelligence make possible agentive systems that do things directly for their users (like, say, an automatic pet feeder). They deliver on the promise of user-centered design, but present fresh challenges in understanding their unique promises and pitfalls. Designing Agentive Technology provides both a conceptual grounding and practical advice to unlock agentive technology’s massive potential.

Table of Contents

  1. Cover Page
  2. Title Page
  3. Contents Page
  4. How to Use This Book
  5. Frequently Asked Questions
  6. Foreword
  7. Introduction
  8. Part I: Seeing
    1. Chapter 1: The Thermostat That Evolved
      1. Tools for Temperature
      2. Drebbel’s Incubator
      3. Then the Nest Learning Thermostat
      4. Recap: From Tool to Agent
    2. Chapter 2: Fait Accompli: Agentive Tech Is Here
      1. Reducing Physical Work
      2. Reducing Information Work
      3. Putting Physical and Information Work Together to Become Agentive
      4. Getting to a Working Definition of “Agentive”
      5. Drawing a Boundary Around Agentive Technology
      6. Recap: Agents Are Persistent, Background Assistants
    3. Chapter 3: Agentive Tech Can Change the World
      1. They Move Us from Moments to Interests
      2. They’ll Do the Work You’re Not Good At
      3. They’ll Do the Things We’re Unwilling to Do
      4. They’ll Do the Embarrassing Things
      5. They Will Allow Play . . .
      6. . . . and They Will Encourage Discovery Through Drift
      7. They Help Achieve Goals with Minimal Effort
      8. The Scenario Is—a Lifetime
      9. There May Be an Arms Race of Competing Agents
      10. It’s Going to Be Big Enough to Affect Our Infrastructure
      11. Places and Objects Will Need Them
      12. They Will Help Us Overcome Some Human Foibles
      13. Using Them, People Will Program the World
      14. Our Species’ Future May Well Depend on Them
      15. Recap: Yes, the World
    4. Chapter 4: Six Takeaways from the History of Agentive Thinking
      1. It’s as Old as Myth
      2. Yes, Virginia, Computers Can Take Initiative
      3. Automation Doesn’t Work Like You Think
      4. It’s About the Feedback
      5. Agency Is Fluid
      6. The Agentive/Assistive Line Will Be Blurry
      7. Recap: On the Agentive Shoulders of Giants
  9. Part II: Doing
    1. Chapter 5: A Modified Frame for Interaction
      1. A New See-Think-Do Loop
      2. Setting Up the Agent
      3. Seeing What the Agent Is Doing
      4. Having or Helping the Agent Do Stuff
      5. Disengaging from the Agent
      6. Rules and Exceptions, Triggers and Behaviors
      7. New Technologies to Consider
      8. Recap: New Tools in Your Backpack
      9. Agentive Gardening with Mr. McGregor
    2. Chapter 6: Ramping Up with an Agent
      1. Conveying Capability
      2. Conveying Limitations
      3. Getting Goals, Preferences, and Permissions
      4. Test Driving
      5. Launch
      6. Recap: Ramping Up Is Often the Tedious Part
      7. Agentive Gardening with Mr. McGregor
    3. Chapter 7: Everything Running Smoothly
      1. Pause and Restart
      2. Monitoring
      3. Let Me Play, Anyway
      4. Notifications
      5. Recap: Smooth Sailing Is the Easy Part
      6. Agentive Gardening with Mr. McGregor
    4. Chapter 8: Handling Exceptions
      1. Where Do These Interfaces Go?
      2. A Nod to the Looping, Careening Rollercoaster of Trust
      3. Limited Resources
      4. Simple Manipulations
      5. Tuning Triggers
      6. Tuning Behaviors
      7. Handoff and Takeback
      8. Disengagement and Death
      9. Recap: Handling Exceptions Is Often the Hard Part
      10. Agentive Gardening with Mr. McGregor
    5. Chapter 9: Handoff and Takeback
      1. Does This Mean No AI?
      2. Just 30 Minutes of Vigilance
      3. Decreasing Expertise
      4. Handing Off to Intermediates
      5. Handing Off to the User
      6. Takeback
      7. Recap: Handoff and Takeback Are the Achilles’ Heel of Agentive Systems
    6. Chapter 10: Evaluating Agents
      1. Does This Mean No UI?
      2. Methods
      3. Traditional Usability for the Traditional Parts
      4. Heuristic Evaluation for the Agentive Parts
      5. Recap: Evaluate with Heuristics
  10. Part III: Thinking
    1. Chapter 11: How Will Our Practice Evolve?
      1. First, We’ll Be Selling the Concept
      2. Then We’ll Be Working on Making Agents Smarter
      3. Hopefully, We’ll Work on Having Them Fade Away
      4. Recap: The Signpost Says AGI
    2. Chapter 12: Utopia, Dystopia, and Cat Videos
      1. The Tyranny of the Light Bulb
      2. But Will the Internet Save Us?
      3. Dr. Jekyll and Mr. Agent
      4. Ethics++
      5. An Uncanny Breach
      6. Delivering Strict Services to the 99%
      7. Planned Robobsolescence
      8. How Many Agents Are Too Many Agents?
      9. Will We Lose the Skills We Hand Over to Agents?
      10. What Will Agents Do to Our Self-Perception?
      11. Is This as Close as We Ought to Come to General AI?
      12. Recap: Issue-Filled Issues
    3. Chapter 13: Your Mission, Should You Choose to Accept It
  11. Appendix A: Consolidated Touchpoints
  12. Appendix B: A List of Referenced Agentive Technology
  13. Index
  14. Acknowledgments
  15. About the Author
  16. Footnotes
    1. Introduction
    2. Chapter 1: The Thermostat That Evolved
    3. Chapter 3: Agentive Tech Can Change the World
    4. Chapter 5: A Modified Frame for Interaction
    5. Chapter 8: Handling Exceptions
    6. Chapter 9: Handoff and Takeback
    7. Chapter 11: How Will Our Practice Evolve?
    8. Chapter 12: Utopia, Dystopia, and Cat Videos