fCrit用对话方式帮设计师分析家具设计，还能听懂他们的想法。
fCrit: A Visual Explanation System for Furniture Design Creative Support
- 多智能体架构结合设计知识库，支持对话式反馈
- 根据用户表达方式调整解释语言，提升理解度
- 适合艺术创作中的可解释AI研究者和设计师
我们提出fCrit，一个以对话形式对家具设计进行评价的AI系统，强调可解释性。基于反思学习与形式分析，fCrit采用多智能体架构，并依托结构化设计知识库。我们认为艺术领域的可解释性不仅需透明化AI推理过程，更应适配用户思考与表达设计的方式。通过将解释内容匹配用户的设计语言与认知框架，fCrit有效支持这一目标。本工作推动了创意实践中的人类中心可解释AI（HCXAI）发展，提出了情境化、对话式且视觉具身的领域特定支持方法。
原文摘要 · Abstract (English)
We introduce fCrit, a dialogue-based AI system designed to critique furniture design with a focus on explainability. Grounded in reflective learning and formal analysis, fCrit employs a multi-agent architecture informed by a structured design knowledge base. We argue that explainability in the arts should not only make AI reasoning transparent but also adapt to the ways users think and talk about their designs. We demonstrate how fCrit supports this process by tailoring explanations to users' design language and cognitive framing. This work contributes to Human-Centered Explainable AI (HCXAI) in creative practice, advancing domain-specific methods for situated, dialogic, and visually grounded AI support.
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