将AI设计工具集成到传统设计工作流程中:基于Push-Pull-Mooring框架的协作工具使用意愿研究.
Hong Zou1, Mangting He2, Zichuan Liu1
1School of Fine Arts, Guangdong Polytechnic Normal University, Guangzhou, 510665, China.
Acta psychologica
|January 13, 2026
概括
设计人员采用人工智能工具进行协作,而不是替代. 诸如复杂性等因素会导致倦怠,减少意愿,而信任和适应性则会促进人工智能与人类在设计工作流程中的合作.
科学领域:
- 人与计算机的交互
- 设计研究 设计研究
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 的快速发展正在改变专业设计工作流程.
- 设计师越来越多地采用协作方法,将人工智能工具与传统方法相结合,而不是取代它们.
- 了解影响这种协作工具使用的因素对于有效的人类-人工智能集成至关重要.
研究的目的:
- 调查设计师愿意与AI进行协作工具使用的关键决定因素.
- 分析推进 (复杂性,局限性),拉向 (互补性,人性化) 和停靠 (信任,社会影响,习惯,适应性) 因素对这种意愿的影响.
- 扩展Push-Pull-Mooring (PPM) 框架,以解释多工具在设计中的共同使用.
主要方法:
- 一项使用404名专业设计师调查数据的定量研究.
- 部分最小平方结构方程建模 (PLS-SEM) 用于数据分析.
- 该研究采用了推拉挂 (PPM) 框架来模拟影响因素.
主要成果:
- 发现操作复杂性和工具限制增加了工具倦怠,对合作意愿产生了负面影响.
- 工具的互补性对意愿产生了积极的影响,而感知到的人性化则产生了负面影响,可能是由于破坏了创意自主权.
- 包括工具信任,社会影响,习惯和整合适应能力在内的系因素显著促进了人工智能和传统工具的协作.
结论:
- 人与人工智能在设计中的合作面临心理挑战,包括情绪疲劳和对创意自主权的担忧.
- 该PPM框架有效地解释了多工具的共同使用,超越了简单的工具替换场景.
- 为设计人工智能工具提供了可操作的见解,这些工具可以平衡设计师代理与优化的人机协作.
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