1st Edition
The Anticipatory Design Playbook A UX Guide to Design AI-Driven Experiences
Part I Setting the Stage
Chapter 1 Foundational Concepts of Artificial Intelligence and Machine Learning
Chapter 2 Key AI Capabilities and Real-world Use Cases
Chapter 3 Seven Fundamental AI Patterns
Chapter 4 ML for Designers: Learning Phases, Key Concepts, and Models
Part II Designing Relief
Chapter 5 The Paradox of Choice in the Digital Era
Chapter 6 Origins of Anticipatory Design
Chapter 7 The Fragile Promise of Anticipatory Experiences
Chapter 8 Trust Calibration: Balancing Autonomy and Automation
Chapter 9 The Science of Behavior Change
Part III Anticipatory Design in Action
Chapter 10 From Theory to Method: Interpreting Anticipatory Design
Chapter 11 Anticipatory Design: Designing for What Comes Next
Chapter 12 Making Sense of AI: Users’ Mental Models and Trust Gaps
Chapter 13 Designing Anticipatory Systems: A Layered and Temporal Approach
Chapter 14 Designing with Foresight: Future Studies in Anticipatory Design
Part IV Designing Anticipatory Systems
Chapter 15 How Foresight Integrates with Traditional UX Workflows
Chapter 16 Designing Anticipatory Experiences
Chapter 17 Design Heuristics for Anticipatory Systems: Turning Principles into Practice
Biography
Joana Cerejo, PhD in Digital Media from the University of Porto, with over a decade of experience, is a UX lead and researcher specializing in human-centered AI and anticipatory systems. She was nominated for the 2021 Women in AI Awards by VentureBeat. With a background spanning UX research and strategy, behavioral science, and data-driven design, she helps organizations craft intelligent experiences that prioritize transparency, adaptability, and user autonomy. Since 2012, she has taught at universities and technical schools, mentoring new designers and sharing her knowledge.
