让人类与AI共同发现并应用思维模式，助力创意问题解决
Human-AI Schema Discovery and Application for Creative Problem Solving
- 通过分析案例帮助用户抽象出通用思维模式
- 将思维模式转化为人机协同创作的工作流程
- 适合需要创新突破的跨领域研究者
人类在创作过程中常依赖潜在的结构化模式——即思维模式（schemas），如写故事、设计软件或作曲。这些模式有助于组织思路并引导探索，但在复杂或陌生领域中往往难以发现和应用。本博士研究提出一个面向人机协作的思维模式发现与应用框架，设计系统支持用户通过分析实例抽象出思维模式，并将这些模式转化为可操作的人机协同创作流程。研究揭示了如何通过思维模式引导交互，使隐性知识更易获取和应用，推动更具透明性与协作性的智能系统发展。
原文摘要 · Abstract (English)
Humans often rely on underlying structural patterns-schemas-to create, whether by writing stories, designing software, or composing music. Schemas help organize ideas and guide exploration, but they are often difficult to discover and apply, especially in complex or unfamiliar domains. My Ph.D. research develops a framework for human-AI schema discovery and application to support creative problem solving. I design systems that support users in sensemaking over examples to abstract schemas, and in operationalizing schemas into human-AI co-creative workflows for application. This research offers insights into how schema-guided interaction can make implicit knowledge more accessible and actionable, advancing more transparent and collaborative human-AI systems.
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