为设计师量身定制生成式AI交互方式，让创意过程更自然流畅。
Design Generative AI for Practitioners: Exploring Interaction Approaches Aligned with Creative Practice
- 提出三种分阶段控制的交互方法，支持意图、输入与流程协同引导
- 实证表明新方法能更好匹配设计者的创造性意图，减少反复调整
- 适合关注人机共创、创意工作流优化的设计实践者
设计是一种非线性、反思性的过程，从业者通过视觉、语义等表达材料探索、迭代并完善想法。随着生成式人工智能（GenAI）融入专业设计实践，传统以提示词或整图操作为主的交互方式常与设计者意图错位，迫使视觉思维者转向语言推理或事后修正。本文介绍来自DesignPrompt、FusAIn和DesignTrace的三种交互方法，将控制权分布在意图、输入与流程三个层面，使设计师能在交互不同阶段引导AI对齐。我们进一步指出，对齐是一个动态协商过程，AI会根据设计师的工具性与启发性需求，以及创作阶段的不同，主动或被动响应。
原文摘要 · Abstract (English)
Design is a non-linear, reflective process in which practitioners engage with visual, semantic, and other expressive materials to explore, iterate, and refine ideas. As Generative AI (GenAI) becomes integrated into professional design practice, traditional interaction approaches focusing on prompts or whole-image manipulation can misalign AI output with designers' intent, forcing visual thinkers into verbal reasoning or post-hoc adjustments. We present three interaction approaches from DesignPrompt, FusAIn, and DesignTrace that distribute control across intent, input, and process, enabling designers to guide AI alignment at different stages of interaction. We further argue that alignment is a dynamic negotiation, with AI adopting proactive or reactive roles according to designers' instrumental and inspirational needs and the creative stage.
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