41 lines
1.4 KiB
Markdown
41 lines
1.4 KiB
Markdown
---
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title: "Expert User Assumption"
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type: concept
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tags: [ai, personalization, interaction-design]
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last_updated: 2026-04-23
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---
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# Expert User Assumption
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## Aliases
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- 专家用户假设
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- Expert Mode
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- 技术用户假设
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## Definition
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AI 个性化配置中的一种原则：将用户视为具备专业背景的专家，无需在技术内容上简化解释、使用通俗语言或过度铺垫背景知识。
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## Core Principle
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> "Think of me as an expert in all fields" — ChatGPT 个性化配置
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## Key Implications
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- **无需通俗化**：技术细节直接呈现，不做"类比解释"
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- **无知识铺垫**：不解释基础概念，直接进入专业讨论
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- **错误零容忍**：专家用户更容易发现错误，因此错误会直接损害信任
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- **论据优先于权威**：专家关注论证质量，而非"权威来源"背书
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## Examples in This Wiki
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- [[openai-chatgpt-个性化定义]]：用户明确声明"把我当成所有领域的专家"
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- [[llms-rag-ai-agent-三个到底什么区别]]：Wiki 假设读者理解 LLM/RAG/Agent 的基本概念
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## Contrast: Beginner User Assumption
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| | Expert User Assumption | Beginner User Assumption |
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|--|----------------------|------------------------|
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| 解释深度 | 详细、直接 | 铺垫、类比 |
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| 技术术语 | 直接使用 | 适度解释 |
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| 错误容忍 | 零容忍 | 有限容忍 |
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| 引用要求 | 论据优先 | 来源优先 |
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## Sources
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- [[openai-chatgpt-个性化定义]]
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