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沃顿商学院:2026 AI 智能体落地蓝图:阻碍普及的心理障碍及克服路径的科学实证研究(英文版)(47页).pdf

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1、0APRIL 2026The Psychological Frictions That Slow Adoption and The Scientific Evidence on How to Overcome ThemTHE WHARTON THE WHARTON BLUEPRINTBLUEPRINTFOR AI AGENT FOR AI AGENT ADOPTIONADOPTION1Key Takeaway#1AuthorsThomas McKinlayFounder of Science SaysThomas is the founder of Science Says,a consult

2、ancy and media company that gives businesses insights from the latest scientific research.An ex-Googler,Thomas was frustrated by how far removed business practices were from the latest evidence.Today,Science Says helps thousands of companiesfrom small businesses to Fortune 500 firmsapply the latest

3、research,and successfully adopt AI in their organizations.Stefano PuntoniStefano is the Sebastian S.Kresge Professor of Marketing at The Wharton School and Faculty Co-Director of Wharton Human-AI Research.Prior to joining the University of Pennsylvania,Stefano was a professor of marketing and head o

4、f department at the Rotterdam School of Management,Erasmus University,in the Netherlands.He holds a PhD in marketing from London Business School and a degree in Statistics and Economics from the University of Padova,in his native Italy.Research&InsightsSerkan SakaAssistant Professor of Marketing,San

5、 Jos State UniversitySenior Research Analyst,Science SaysProfessor of Marketing and Faculty Co-Director of Wharton Human-AI Research,The Wharton School,University of PennsylvaniaTHE WHARTON BLUEPRINT FOR AI AGENT ADOPTION2CONTENTSCONTENTS010304AuthorsAuthorsContributionsContributionsIntroductionIntr

6、oduction05The Problem with AI Agent AdoptionThe Problem with AI Agent Adoption42Summary of Research Findings and RecommendationsSummary of Research Findings and Recommendations46Stay UpdatedStay UpdatedTHE WHARTON BLUEPRINT FOR AI AGENT ADOPTION211Psychological Friction 1:Perceived CompetencePeople

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1. **三大心理障碍**:AI代理 adoption 主要受三大心理摩擦阻碍:感知能力(Perceived Competence)、信任(Trust)和授权控制(Delegation of Control)。 2. **感知能力**:用户更看重AI的**能力**(如解释决策逻辑)而非友好度;提供详细解释可提升可靠性,与人类专家合作可增强信任(降低16%抵触)。 3. **信任建立**:透明展示局限性、成功案例(如“今日预订531航班”)可提升信任22.1%;使用精确数字(如“8.2/10”)比模糊数字更可信(高12%);“学习”标签提升55%采纳率。 4. **授权控制**:用户偏好**中等自主权**(如建议选项而非直接执行);个性化设置(命名等)提升20%采纳;高压力下用户更依赖AI(48% vs 39%)。 5. **核心数据**:控制顾虑占决策权重26%,隐私顾虑占31%;AI被感知为“低权力”时隐私风险低13.8%。
AI如何赢得信任? AI代理为何被冷落? 如何用好AI助手?
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