用AI助手ALIA提升设计构思阶段的创意质量与互动体验。
Leveraging LLMs for Design Ideation: An AI Tool to Assist Creativity
- 通过语音交互调用大模型生成类比性启发刺激，支持小组协作构思。
- 实验表明，使用ALIA的方案获得更高满意度，创意质量更优。
- 适合设计团队在早期创意阶段快速激发灵感，尤其适合语音交互场景。
计算机的创造力长期以来吸引研究者关注。生成式人工智能（Gen AI）的出现为计算机创造力开辟了新维度和应用前景。随着Gen AI进入主流话语与使用场景，研究者正探索其如何增强并补充人类工作。创意潜能是设计实践与研究中的关键概念，尤其在初期构思阶段。现有方法在该阶段仍有改进空间，尤其是借助机器智能。本文提出一种结构化构思流程，融合启发性刺激，并通过ALIA（类比型大语言模型构思代理）工具实现，该工具支持小团体在语音交互中使用大语言模型生成推理内容。灵感源自类比构思法与辩证哲学，以优化群体构思中的刺激设计。通过对比传统与AI辅助构思会话，初步结果显示：参与者在使用ALIA后对自身想法评分更高，且对语音交互方式反馈积极。
原文摘要 · Abstract (English)
The creative potential of computers has intrigued researchers for decades. Since the emergence of Generative AI (Gen AI), computer creativity has found many new dimensions and applications. As Gen AI permeates mainstream discourse and usage, researchers are delving into how it can improve and complement what humans do. Creative potential is a highly relevant notion to design practice and research, especially in the initial stages of ideation and conceptualisation. There is scope to improve creative potential in these stages, especially using machine intelligence. We propose a structured ideation session involving inspirational stimuli and utilise Gen AI in delivering this structure to designers through ALIA: Analogical LLM Ideation Agent, a tool for small-group ideation scenarios. The tool is developed by enabling speech based interactions with a Large Language Model (LLM) for inference generation. Inspiration is drawn from the synectic ideation method and the dialectics philosophy to design the optimal stimuli in group ideation. The tool is tested in design ideation sessions to compare the output of the AI-assisted ideation sessions to that of tradi tional ideation sessions. Preliminary findings showcase that participants have rated their ideas better when assisted by ALIA and respond favourably to speech-based interactions.
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