MAIA：面向艺术委托需求发现的多智能体意图表达系统
MAIA: Multi-Agent Intent Articulation for Requirement Discovery in Art Commissions
AI 导读
研究者提出 MAIA（Multi-Agent Intent Articulation），一个多智能体系统，通过“验证优先于发明”规则下的苏格拉底式提问，将艺术委托中用户的模糊情感转化为用户可确认的纯文本视觉需求简报，解决需求发现阶段的表达瓶颈。
正文 · 原文
Abstract:In bespoke art commissions, laypeople know what they feel but lack the words to specify it: one participant wanted a laid-off truck driver depicted as "a ghost in his own machine" but left the medium, scale, and palette unsaid. We frame this as an articulation bottleneck at an under-served upstream stage: requirement discovery, which precedes any artist or image generator and forces the commissioner to constitute intent in the first place. We present MAIA (Multi-Agent Intent Articulation), a multi-agent system that scaffolds this stage through Socratic inquiry under a "Verification over Invention" rule, turning vague affect into a text-only brief of visual terms the user verifies. In a within-subjects study (N = 16), the full configuration produced a large, significant gain in Cognitive Support over a minimal baseline (r = 0.97, p_FDR = 0.003; LMM p_FDR < 0.001). Thematic analysis traces the same mechanism, and a validator gate structurally blocks unratified content. An exploratory blind review by three professional concept artists provides complementary descriptive evidence that the rewritten briefs were more complete and executable.
| Comments: | 8 pages, 2 figures. Accepted at AIxHEART 2026 |
| Subjects: | Human-Computer Interaction (cs.HC); Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2609.12097 [cs.HC] |
| (or arXiv:2609.12097v2 [cs.HC] for this version) | |
| https://doi.org/10.48550/arXiv.2609.12097 arXiv-issued DOI via DataCite |
Submission history
From: Yu-Chao Wang [view email]
[v1]
Thu, 10 Sep 2026 18:25:21 UTC (466 KB)
[v2]
Wed, 4 Nov 2026 00:54:26 UTC (472 KB)
来源：arXiv cs.AI · arxiv.org