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商品描述
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
商品描述(中文翻譯)
本書將人類心理學的基礎原理應用於代理型 AI（agentic AI）的設計。隨著科技業從打造引導使用者行動的介面，轉向建立代表使用者執行這些行動的 AI 代理，我們正面臨一場信任危機。AI 的技術能力已超越我們的設計成熟度，許多產品之所以無法獲得使用者採用，是因為使用者認為它們難以預測、無法控制，也不值得信任。《The Persuasive Agent》提供了建立 AI 的實用指南，協助使用者有信心地與 AI 合作。
本書將探討如何運用社會心理學與傳播理論中歷久彌新的原則，有系統地建立並設計使用者信任。本書的方法是將複雜的學術理論——包括 Cialdini、Nass 與 Fogg 等研究者提出的理論——拆解為產品團隊能立即應用的實用、可執行框架。全書分為三個部分：第一部分建立代理式說服（agentic persuasion）與溝通模型的基礎概念；第二部分深入介紹由互惠、權威與透明度等具體原則組成的「心理學工具箱」；第三也是最後一部分，則透過案例研究與設計模式，說明如何在實務中以符合倫理的方式應用這些工具。
讀完本書後，你將擁有具體的行動方案，能將「信任」與「倫理」等抽象目標，轉化為具體的 UI 行為、互動模式與內容策略，藉此打造穩健的 AI 代理，以及終端使用者能夠使用並信任的 AI 融合型產品。
你將學會：
- 運用溝通的交易模型（Transactional Model of Communication），有系統地診斷並修正有缺陷的人機代理互動。
- 根據心理影響的六項核心原則（包括互惠、權威、社會認同等），實作符合倫理且能建立信任的設計模式。
- 設計 AI 代理的人格與新手引導流程，在一開始就建立良好互動關係，並設定清楚且準確的使用者期待。
- 了解何時以及如何說明 AI 的推理過程，以建立經過適當校準的信任，而不是造成混淆，從而化解「透明度悖論」（Transparency Paradox）。
- 建立「守護者代理」（Guardian Agents）——運用說服技巧，協助使用者達成自己明確表達的目標，並避免認知偏誤的系統。
本書適合：
專業軟體與產品創作者；以及目前負責打造 AI 驅動功能與產品的設計師、開發人員、UX/UI 專家和產品經理。
作者簡介
Victor Yocco, PhD is a UX research leader and author whose work focuses on design psychology and communication. For two decades, he has been at the forefront of user experience research, leading teams that bridge the gap between human behavior and product design. His book, Design for the Mind (Manning) successfully translated complex psychological principles into actionable guidance for tech professionals his recent work has been dedicated to researching the unique UX challenges of generative and agentic AI with articles being published Smashing Magazine and research journals on designing for trust and explainability in AI
作者簡介(中文翻譯)
Victor Yocco 博士是一位 UX 研究領導者及作者，專注於設計心理學與溝通。二十多年來，他一直站在使用者體驗研究的前線，帶領團隊彌合人類行為與產品設計之間的落差。他的著作《Design for the Mind》（Manning）成功將複雜的心理學原則轉化為科技專業人士可實際應用的指引。近年來，他的研究工作則專注於生成式 AI 與代理型 AI 所面臨的獨特 UX 挑戰；相關文章已發表於《Smashing Magazine》及研究期刊，探討如何在 AI 設計中建立信任與可解釋性。
