MAIA：面向艺术委托需求发现的多智能体意图表达
MAIA: Multi-Agent Intent Articulation for Requirement Discovery in Art Commissions
查看机构详情
- Purdue University（普渡大学）
- School of Applied and Creative Computing（应用与创意计算学院）
机构由 AI 辅助整理，请以论文原文为准。
浏览论文内容
中文总结 AI 辅助
本文提出MAIA多智能体系统，通过苏格拉底式提问帮助艺术委托用户表达模糊需求，实验显示其显著提升认知支持，并获艺术家评审认可。
中文摘要 AI 辅助
在定制艺术委托中，外行人士知道自己想要什么，却缺乏语言来具体说明：一位参与者希望将一名被解雇的卡车司机描绘成“他自己机器中的幽灵”，但未说明媒介、尺寸和调色板。我们将此问题定义为在服务不足的上游阶段——需求发现——出现的表达瓶颈，该阶段先于任何艺术家或图像生成器，并迫使委托人首先构建意图。我们提出MAIA（多智能体意图表达），一个多智能体系统，通过“验证优于发明”规则下的苏格拉底式提问来支撑该阶段，将模糊的情感转化为用户验证的纯文本视觉术语简报。在一项受试者内研究（N=16）中，完整配置相比最小基线在认知支持上产生了大幅显著提升（r=0.96，p_FDR=0.015；LMM p_FDR<0.001）。主题分析追溯了相同的机制，验证器门在结构上阻止未批准的内容。一项由三位专业概念艺术家对抽样简报进行的补充盲审从艺术家角度证实了这一改进：AI重写在所有八个抽样任务中提高了视觉完整性和可执行性（任务级Wilcoxon p=0.008；FDR q=0.010），且MAIA下的增益方向性大于基线（统计功效不足，d=1.4-2.6）。
英文摘要
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 = 0.96, p_FDR = 0.015; LMM p_FDR < 0.001). Thematic analysis traces the same mechanism, and a validator gate structurally blocks unratified content. A complementary blind review by three professional concept artists on a sampled set of briefs corroborates this improvement from the artist's side: AI rewriting improved visual completeness and executability in all eight sampled tasks (task-level Wilcoxon p = 0.008; FDR q = 0.010), with directionally larger gains under MAIA than under the baseline (underpowered, d = 1.4-2.6).
