探索AIGC产生的城市雕塑的美学认知和艺术接受:结构方程建模和视觉内容分析方法
Hao Fang1, Bowen Li1, Ziwen Zhou2
1Institute of Fine Arts and Design, Quanzhou Normal University, Quanzhou, China.
PloS one
|March 12, 2026
概括
当视觉吸引力,认知参与和情感联系存在时,观众可以欣赏城市雕塑中的人工智能生成内容 (AIGC). 对人工智能的信任和感知到的艺术价值显著影响了对人工智能产生的艺术的接受.
科学领域:
- 艺术与技术研究 艺术与技术研究
- 人与计算机的交互
- 审美学 在审美学方面
背景情况:
- 人工智能产生的内容 (AIGC) 越来越多地用于创意领域,促使人们对其公众接受的研究,特别是在城市雕塑中.
- 了解观众对人工智能产生的艺术的看法对于其融入公共空间至关重要.
研究的目的:
- 提出并经验测试一个概念模型,说明一般观众如何感知和评估人工智能产生的城市雕塑.
- 研究美学特征,认知能力,情绪激发和对人工智能的信任在塑造观众接受中的作用.
主要方法:
- 开发了一个结构方程模型 (SEM) 基于美学欣赏和人类-AI信任理论的七个潜在构造.
- 使用Midjourney v6生成24个人工智能生成的雕塑刺激,由专家视觉内容分析分析.
- 收集了来自中国公共空间的326名受访者的问卷数据.
主要成果:
- 认知掌握和情绪激发显著调解美学特征和感知艺术价值之间的联系.
- 对AIGC的信任和感知到的艺术价值是接受意向的关键预测因素.
- 观众对人工智能雕塑的共取决于视觉连贯性,象征性丰富性和技术信任.
结论:
- 观众对人工智能产生的城市雕塑的接受受到感知,情感和态度因素的结合的影响.
- 该研究将美学理论扩展到人工智能产生的艺术,为设计师和政策制定者提供了见解.
- 结果表明,尽管刺激模式存在局限性,但对人工智能产生的艺术产生认知和情感共的初步支持.
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