FlexMind：用 LLM 支持更深入的创造性思维
FlexMind: Supporting Deeper Creative Thinking with LLMs
FlexMind 是一个 AI 增强系统，在结构化工作区内主动搭建多线程“权衡—缓解”链，帮助用户明确具体权衡、生成可操作的缓解方案并浏览和扩展多个想法分支。一项 n=20 的对照研究中，FlexMind 在不牺牲广度的前提下支持更深入探索，并由领域专家评定产生更高质量的想法；另有 6 名专家的案例研究进一步显示其支持想法分析并帮助发现新方案。
arXiv:2509.21685v3 Announce Type: replace Abstract: Expert ideation requires more than generating ideas. People must articulate trade-offs, develop mitigations, and compare parallel directions, yet this reasoning process is cognitively demanding. Existing ideation tools fall short by either focusing only on expanding or organizing the idea space, or by offering evaluations without supporting mitigation generation and continued reasoning over newly introduced trade-offs. We present FlexMind, an AI-augmented system that proactively scaffolds multi-threaded trade-off-mitigation chains within a structured workspace. FlexMind helps users surface concrete trade-offs, generate actionable mitigations, and navigate and expand multiple idea branches. In a controlled study (n=20), FlexMind supported deeper exploration without sacrificing breadth and produced higher-quality ideas, as judged by domain experts, compared to a baseline. A case study with six experts (n=6) further reveals how FlexMind supports idea analysis while helping uncover new solutions. These results inform implications for enhancing human-AI co-creation.
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来源：arXiv · Human-Computer Interaction · arxiv.org