为人工智能辅助设计提供评估框架，助力人机协同创新。
GRAPHIC--Guidelines for Reviewing Algorithmic Practices in Human-centred Design and Interaction for Creativity
- 提出GRAPHIC框架，从协作全景、交互过程、设计原则三方面评估人机共创系统。
- 分析71篇论文发现：当前系统在控制权分配与可解释性上存在明显不足。
- 适合研究人机协同设计的学者及设计师参考，尤其关注创意生成的合理性。
人工智能在创意领域应用日益广泛，推动了人机协同设计系统的兴起。在平面设计中，将计算系统融入共创流程面临独特挑战，需兼顾科学严谨性与设计的主观性和视觉性。基于PRISMA方法论，我们筛选出872篇文献，最终纳入71篇包含68个独特系统的论文。据此提出GRAPHIC（人本设计与互动中算法实践评审指南），用于分析应用于平面设计的计算系统。该框架包含三大核心维度：(1) 协作全景，(2) 过程与交互方式，(3) 平面设计原则。其应用揭示了若干研究空白：包括需平衡人机代理权与控制权、通过可解释性模型提升沟通效率、以及发展以核心设计原则为基础的转化性创造力支持系统。
原文摘要 · Abstract (English)
Artificial Intelligence (AI) has been increasingly applied to creative domains, leading to the development of systems that collaborate with humans in design processes. In Graphic Design, integrating computational systems into co-creative workflows presents specific challenges, as it requires balancing scientific rigour with the subjective and visual nature of design practice. Following the PRISMA methodology, we identified 872 articles, resulting in a final corpus of 71 publications describing 68 unique systems. Based on this review, we introduce GRAPHIC (Guidelines for Reviewing Algorithmic Practices in Human-centred Design and Interaction for Creativity), a framework for analysing computational systems applied to Graphic Design. Its goal is to understand how current systems support human-AI collaboration in the Graphic Design discipline. The framework comprises main dimensions, which our analysis revealed to be essential across diverse system types: (1) Collaborative Panorama, (2) Processes and Modalities, and (3) Graphic Design Principles. Its application revealed research gaps, including the need to balance initiative and control between agents, improve communication through explainable interaction models, and promote systems that support transformational creativity grounded in core design principles.
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