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Coles The Persuasive Agent: UX Design Psychology for Agentic AI at Bayshore Shopping Centre in Ottawa, ON
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This book applies foundational human psychology to the design of agentic AI. As the tech industry pivots from building interfaces that guide user actions to creating agents that undertakes those actions on the user's behalf, we are facing a crisis of trust. The technical capabilities of AI have outpaced our design maturity, and many products are failing to gain adoption because users perceive them as unpredictable, uncontrollable, and untrustworthy. The Persuasive Agent provides the missing manual for building AI users can confidently partner with. We shall look at how to systematically build and design user trust by applying durable principles from social psychology and communication theory. The book's methodology is to deconstruct complex academic theories (from researchers like Cialdini, Nass, and Fogg) into practical, actionable frameworks that product teams can immediately apply. Structured in three parts, the first section establishes the foundational concepts of agentic persuasion and communication models; the second provides a deep dive into a "psychological toolkit" of specific principles like reciprocity, authority, and transparency; and the third and final section shows how to apply these tools ethically in practice through case studies and design patterns. By the end of the book you will have concrete action plans for translating abstract goals like "trust" and "ethics" into concrete UI behaviors, interaction patterns, and content strategies to create robust AI agents and AI infused products that end users can use and trust. You Will Learn To: - Apply the Transactional Model of Communication to systematically diagnose and fix flawed human-agent interactions. - Implement ethical, trust-building design patterns based on the six core principles of psychological influence (Reciprocity, Authority, Social Proof, etc.). - Design agent personas and onboarding sequences that establish immediate rapport and set clear, accurate user expectations. - Navigate the "Transparency Paradox" by learning precisely when and how to explain an AI's reasoning to build calibrated trust, not confusion. - Create "Guardian Agents"-systems that use persuasive techniques to help users achieve their own stated goals and avoid cognitive biases This Book is for: professional software and product creators; designer, developer, UX/UI specialists and product managers who is now tasked with building AI-powered features and products
This book applies foundational human psychology to the design of agentic AI. As the tech industry pivots from building interfaces that guide user actions to creating agents that undertakes those actions on the user's behalf, we are facing a crisis of trust. The technical capabilities of AI have outpaced our design maturity, and many products are failing to gain adoption because users perceive them as unpredictable, uncontrollable, and untrustworthy. The Persuasive Agent provides the missing manual for building AI users can confidently partner with. We shall look at how to systematically build and design user trust by applying durable principles from social psychology and communication theory. The book's methodology is to deconstruct complex academic theories (from researchers like Cialdini, Nass, and Fogg) into practical, actionable frameworks that product teams can immediately apply. Structured in three parts, the first section establishes the foundational concepts of agentic persuasion and communication models; the second provides a deep dive into a "psychological toolkit" of specific principles like reciprocity, authority, and transparency; and the third and final section shows how to apply these tools ethically in practice through case studies and design patterns. By the end of the book you will have concrete action plans for translating abstract goals like "trust" and "ethics" into concrete UI behaviors, interaction patterns, and content strategies to create robust AI agents and AI infused products that end users can use and trust. You Will Learn To: - Apply the Transactional Model of Communication to systematically diagnose and fix flawed human-agent interactions. - Implement ethical, trust-building design patterns based on the six core principles of psychological influence (Reciprocity, Authority, Social Proof, etc.). - Design agent personas and onboarding sequences that establish immediate rapport and set clear, accurate user expectations. - Navigate the "Transparency Paradox" by learning precisely when and how to explain an AI's reasoning to build calibrated trust, not confusion. - Create "Guardian Agents"-systems that use persuasive techniques to help users achieve their own stated goals and avoid cognitive biases This Book is for: professional software and product creators; designer, developer, UX/UI specialists and product managers who is now tasked with building AI-powered features and products
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