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Author:   Greg Nudelman (DesignCaffeine, Inc) ,  Daria Kempka
Publisher:   John Wiley & Sons Inc
Imprint:   John Wiley & Sons Inc
Dimensions:   Width: 18.50cm , Height: 2.00cm , Length: 23.40cm
Weight:   0.476kg
ISBN:  

9781394345922

ISBN 10:   1394345925
Pages:   352
Publication Date:   06 May 2025
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order  
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Table of Contents

Introduction xxv How to Use This Book xxxi Part 1—Framing the Problem 1 Chapter 1 Case Study: How to Completely F*ck Up Your AI Project 3 A Boiling Pot of Spaghetti 3 Fail #1: Try to Replace a Trained Expert with AI 4 Fail #2: Forget About Cost vs. Benefit 4 Fail #3: No ML Training Data? No Problem! 5 Fail #4: It Makes No Difference What Question Your AI Model Is Answering 6 Fail #5: Don’t Worry About User Research—You Have an SME! 6 Final Thoughts 8 Reference 9 Chapter 2 The Importance of Picking the Right Use Case 11 Presuming That AI Will Be Telling Experts How to Do Their Job Is a Red Flag 11 Ask a Better Question 12 Reference 14 Chapter 3 Storyboarding for AI Projects 21 Why Bother with a Storyboard? 22 How to Create a Storyboard 24 Establishing Shot 24 Things 25 People 26 Faces 26 Transitions 27 Storyboard Conclusion 31 Storyboarding for AI 34 Final Thoughts 36 Design Exercise: Create Your Own Storyboard 36 Storyboarding Exercise Example: Death Clock 37 References 38 Chapter 4 Digital Twin—Digital Representation of the Physical Components of Your System 39 Digital Twin of a Wind Turbine Motor 39 The Digital Twin Is an Essential Modeling Exercise for Designing AI-Driven Products 43 How to Build a Digital Twin: An Example 44 Wait, There’s More! 46 Design Exercise: Create Your Own Digital Twin 48 Reflect 49 Design Exercise Example: Life Clock Digital Twin 49 Chapter 5 Value Matrix—AI Accuracy Is Bullshit. Here’s What UX Must Do About It 51 The Big Secret 51 Confusion Matrix: How Can Accurate AI Be Wrong? 53 Value Matrix: The AI Tool for the Real World 55 Training AI on Real-Life Outcomes to “Think” Like a Human 56 One More Example 58 Final Thoughts: The Importance of Human Cost/Benefit 58 Design Exercise: Create Your Own Value Matrix 59 Design Exercise Example: Life Clock Value Matrix 60 References 61 Part 2—AI Design Patterns 67 Chapter 6 Case Study: What Made Sumo Copilot Successful? 69 Strong Use Case 69 Clear Vision 70 Dedicated Full-Screen UI 71 AI-Driven Autocomplete 71 Next-Steps Suggestions 73 Final Words 74 References 74 Chapter 7 UX Best Practices for SaaS Copilot Design 75 The More Important the Task, the More Real Estate Is Required 75 Side Panel 75 Large Overlay 76 Full Page 77 Contents xix SaaS Copilot Is Stateful 78 Specialized Fine-Tuned ChatGPT Model 78 Plug-Ins: Integrated Continuous Learning About Your Specific System 79 The IA of the AI Is Straightforward, Focused on Chat 80 Promptbooks: No Need to Twist into Pretzels to Write Prompts 82 Final Thoughts 82 Design Exercise: Create Your Own Mobile Copilot 83 Design Exercise Example: Life Clock Copilot 84 References 87 Chapter 8 Reporting—One of the Most Important Copilot Use Cases 89 Zoom AI Companion 89 Meeting Summary 89 Answer Questions About the Meeting 89 Set It and Forget It 90 UI Modality Switch 90 Microsoft Security Copilot 91 Executive Summary: A General Report 93 Pinboard: A Specialized Report Focused Only on Selected Key Details 93 Info for Report: Ignore Automatically vs. Pick Manually? 94 Security and Privacy 97 Design Exercise: Create Your Own Copilot Report 97 Design Exercise Example: Life Clock Copilot Report 98 Daily Report 98 Weekly Report 99 Chapter 9 LLM Design Patterns 103 Restating 105 Auto-Complete 106 Talk-Back 108 Initial Suggestions 108 Next Steps 111 Regen Tweaks 113 Guardrails 113 Design Exercise: Try Out the LLM Patterns 116 Design Exercise Example: “Life Copilot Plus” 117 Chapter 10 Search UX Revolution: LLM AI in Search UIs 121 The Current State of Search 121 Google Search 121 Amazon Search 122 The “Mysteries That Are Not Scary” Problem 122 Enter LLMs 126 Design Exercise: Design Your Own LLM Search UI 130 Design Exercise Example: Life Copilot LLM Search 130 Chapter 11 AI-Search Part 2: “Eye Meat” and DOI Sort Algorithms 133 What Are Dynamic Dashboards? 133 Beware of Bias in AI Recommendations 137 DOI: Degree of Interest/Sort Algorithms 138 Design Exercise: Create Your Own Dynamic Dashboards and Sort UI 143 References 143 Chapter 12 Modern Information Architecture for AI-First Applications 145 Design Pattern du Jour: The Canvas 145 Is Information Architecture Dead? 146 Amazon.com: Conventional Approach 148 “AI-Minus”? Homepage 148 Conventional Search Results Page 149 AI-Plus Item Detail Page 150 Conventional Maintenance Pages 151 AI-First Amazon.com Redesign 151 AI-First Analysis Overview Page 151 AI-First Category Analysis Pages 152 AI-First LLM Search 155 AI-First Item Detail 156 AI-First Maintenance Pages 159 Long Live Information Architecture! 159 Chapter 13 Forecasting with Line Graphs 165 Linear Regression 166 R-Squared 167 R vs. R-Squared 169 Forecasting with AI 169 Nonlinear Regression 170 Seasonality 172 Contents xxi Forecasting an Aggregate Variable 173 Final Words 175 Design Exercise: Design Your Own Forecasting UI 175 Design Exercise Example: Life Clock Forecasting 176 References 177 Chapter 14 Designing for Anomaly Detection 179 Why Is Detecting Anomalies Important? 179 Four Main Anomaly Types 180 Point Anomaly 181 Change Point Anomaly 185 Contextual Anomaly 188 Curve Shape Anomalies 192 Design Exercise Example: Life Clock Anomaly Detection UI 195 References 196 Getting Ready for AI-pocalypse: Shorthand UX Design Notation as AI Prompt 197 Shorthand UX Design Notation 197 Shorthand Notation as AI Prompt to Go Directly to Working Code 198 What Is Human Work? 202 Chapter 15 UX for Agentic AI 203 What Are AI Agents? 203 How Do AI Agents Work? 204 Use Case: CloudWatch Investigation with AI Agents 205 Final Thoughts 209 References 211 Part 3—Research for AI Projects 213 Chapter 16 Case Study: MUSE/Disciplined Brainstorming 215 Design Idea #1 215 Design Idea #2 217 Design Idea #3 217 Design Idea #4 218 Design Idea #5 218 But Wait, Did You Catch That? 219 Design Exercise: Create Your Novel Designs Using Bookending 221 Design Exercise Example: Novel Design Ideas for Life Clock 222 References 222 Chapter 17 The New Normal: AI-Inclusive User-Centered Design Process 223 In the Beginning … 223 The Monkey or the Pedestal? 225 A New Way of User-Centered Thinking 226 What the Heck Is a Spike? 226 What Is the Role of Data? 227 Where Is the Customer in All This? 227 Why Is This Change Necessary? 227 How Does This Affect the Role of UX? 228 Does This Mean I Have to Learn About AI So That I Can Ask My Data Science Teammates Good Questions? 229 Final Handoff to Dev 229 Many More Changes to Come 230 Reference 230 Chapter 18 AI and UX Research 235 UX Techniques That Will Likely See Full Automation 235 Routine Usability Studies 235 Routine NPS Studies and Surveys 236 Collecting and Organizing the Research Data 236 Triangulation of Quantitative and Qualitative Insights 236 UX Techniques That Will Be Radically Augmented 236 Competitive Analysis 237 Identification of Novel Use Cases 237 RITE Studies 237 UX Techniques That Will Become Increasingly Valuable 237 Core Skills 237 Workshop Facilitation 238 Formative Research, Field Studies, Ethnography, and Direct Observation 238 Vision Prototyping 238 Augmenting the Executive Strategy 239 AI Bullshit 239 AI Strategic Analysis Tools That Replace Humans in Coming Up with Novel Ideas and Business Use Cases 239 AI Heuristics Analysis Replacing User Research and Design 240 AI Acting as “Synthetic Users” for the Purposes of Usability Research 240 Build Your Persona Using AI 240 Final Words 241 References 242 Contents xxiii Chapter 19 RITE, the Cornerstone of Your AI Research 247 RITE Study vs. Usability Test 247 #1: RITE Studies Form the Core of the Design Process. Usability Tests Are Often Treated as QA 248 #2: RITE Studies Demand the Simplest Appropriate Prototypes That Change Rapidly. Usability Tests Often Mean Fancy Rigid Prototypes 249 #3: RITE Studies Produce Solutions. Usability Tests Produce Reports 250 A Fringe Benefit of RITE Studies 251 How to Conduct a RITE Study 252 A Few More RITE Rounds 255 The RITE Design Evolution 257 Dear Future: AI-Assisted RITE Methodology 257 Design Exercise: Run Your Own RITE Study 259 References 259 Part 4—Bias and Ethics 263 Chapter 20 Case Study: Asking Tough Questions Through Vision Prototyping 265 References 272 Chapter 21 All AI Is Biased 275 What Do You Expect When You Ask for “Biologist”? 275 How About “Basketball Player”? 275 Third Time’s the Charm: “Depressed Person” 277 References 281 Chapter 22 AI Ethics 283 Chapter 23 UX Is Dead. Long Live UX for AI! 299 AI Is Happening for Us, Not to Us 299 Staying on the Rollercoaster Is Optional 299 “UX Elitism” Is Over 300 Designers Are “Ambassadors of Innovation” 300 Core Skills Are in Demand 301 Combine Low-Fi UX Tools and Sophisticated AI Models 301 AI Is a “Wicked Problem” 301 AI Is Just Too Important to Be Left to Data Scientists 302 The Best AI is Augmented Intelligence 302 References 302 Index 303

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GREG NUDELMAN is a UX Designer, strategist, speaker, and author with more than 20 years’ experience helping Fortune 100 clients — including Cisco, IBM, and Intuit — create loyal customers and generate hundreds of millions of dollars in additional valuation. He has worked on 35 AI projects and is currently a Distinguished Designer at Sumo Logic.

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