AI 中文总结
该研究提出基于四世界框架的计算方法建模解释视角，用三类角色评价1069件SemArt作品，发现视角差异影响创造性评估，支持创造性关系观，可提升协同创造系统的适配性。
AI 中文摘要
计算系统中的创造性常被视为作品的客观属性，现有计算创造性（CC）框架多从输出或系统层面评估创造性价值，而非从解释语境层面进行评估。然而，艺术意义本质上依赖于视角，会因观者和批评传统的不同而变化。本文提出一种建模解释视角的计算方法，而非将创造性视为单一可测量的结构。该研究采用十二特质的创造性框架，该框架分布在四个概念领域中，并通过三种评价角色（形式主义者、社会历史主义者和图像志学者）将其具体化。使用来自SemArt数据集的1069件艺术作品，分析生成了38484份基于角色的评价，以检验视角如何影响创造性评估。结果显示，不同视角间存在系统性差异，其中社会反思性等特质表现出强烈的视角敏感性。对CLIP图像嵌入的线性探测表明，视角对应表征空间中的不同方向向量，这表明创造性评估取决于在每种角色条件下哪些视觉特征变得显著。这些发现支持了创造性的关系观，表明纳入多种评价视角可使协同创造系统支持具有不同解释需求的人类合作者。
英文摘要
Creativity in computational systems is often evaluated as an objective property of artifacts, with existing Computational Creativity (CC) frameworks assessing creative merit at the level of outputs or systems rather than interpretive context. However, artistic meaning is inherently perspective-dependent and can vary across viewers and critical traditions. This paper proposes a computational approach to modeling interpretive perspectives rather than treating creativity as a single measurable construct. The study adopts a twelve-trait creativity framework, organized across four conceptual domains, and operationalizes it through three evaluative personas: formalist, social-historical, and iconographic. Using 1,069 artworks from the SemArt dataset, the analysis generates 38,484 persona-based evaluations to examine how perspectives shape creativity assessment. Results show systematic divergence across perspectives, with traits such as Social Reflexivity exhibiting strong viewpoint sensitivity. Linear probing of CLIP image embeddings reveals that perspectives correspond to distinct orientation vectors in representation space, suggesting that creativity evaluation depends on which visual features become salient under each persona condition. These findings support a relational view of creativity and indicate that incorporating multiple evaluative perspectives could enable co-creative systems to support interpretively diverse human collaborators.
CommentsAccepted at the 17th International Conference on Computational Creativity (ICCC 2026)
