了解设计师的意图转换到AI绘画工具使用PPM框架的PPM框架
1College of Art and Design, Shaanxi University of Science and Technology, Xi'an, 710021, China.
Scientific reports
|January 17, 2025
概括
设计师正在转向人工智能 (AI) 绘画工具,主要是因为它们的吸引力,转换成本和对传统工具的不满也发挥了作用. 感知到的愉悦性增强了人工智能工具的吸引力,而习惯增加了切换成本.
科学领域:
- 设计研究 设计研究
- 人与计算机的交互
- 人工智能的人工智能
背景情况:
- 人工智能绘画工具的快速出现正在改变创意产业.
- 关于设计师采用这些人工智能工具的具体意图的研究有限.
研究的目的:
- 调查影响设计师转向人工智能绘画工具的因素.
- 应用推拉挂框架来理解采用动机.
主要方法:
- 基于推拉挂框架的研究模型被开发出来.
- 从320名中国设计师那里收集了数据.
- 结构方程建模用于数据分析.
主要成果:
- 人工智能绘画工具的吸引力是改变意图的主要驱动因素.
- 切换成本和对传统工具的不满是次要因素.
- 感知到的愉悦性对人工智能工具的吸引力产生了积极的影响;习惯增加了切换成本.
结论:
- 人工智能绘画工具的采用受到工具吸引力,用户特定成本和现有工具不满的组合的影响.
- 这些发现为AI工具开发和设计行业的演变提供了经验证据.
- 提供了建议,以提高人工智能工具的创造力和吸引设计师的吸引力.
相关概念视频
PD Controller: Design
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
PI Controller: Design
Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...


