了解协作设计过程的多式模式框架
IEEE transactions on visualization and computer graphics
|January 16, 2026
概括
本研究引入了一个分析协作设计研讨会的框架,使用人工智能和视觉工具来整合多样化的数据源,以更好地了解集团决策和结果.
科学领域:
- 人与计算机的交互
- 设计研究 设计研究
- 计算机支持的合作工作
背景情况:
- 分析协作设计流程对于理解结果和决策至关重要.
- 目前的方法通常依赖于采访或观察的整合文本数据,面临数据量和异质性的挑战.
- 整合来自研讨会的各种数据来源仍然是设计研究中的一个重大挑战.
研究的目的:
- 提出一个实用,模块化和适应性的工作坊分析框架.
- 引入一个交互式视觉分析系统,reCAPit,用于多式联网数据集成.
- 加强数据丰富采集,基于人工智能的提取和协作设计研讨会视觉分析的方法.
主要方法:
- 开发了一个框架,包括车间设置,多模式数据采集,基于人工智能的文物提取和视觉分析.
- 创建了reCAPit系统,集成视频,音频,笔记和目光数据等模式.
- 进行了六次跨越不同主题的研讨会,并详细分析了两个案例研究.
主要成果:
- 该reCAPit系统可灵活组合多式联运数据进行分析.
- 多式联络流图可视化了活动和注意力,而主题卡则总结了讨论.
- 钻探技术允许检查来自各种来源的原始数据.
结论:
- 拟议的框架扩展了协作设计车间的方法与数据丰富的获取.
- 结合基于人工智能的提取和交互式视觉分析,提供透明的结果传播.
- 这种方法有助于更深入地了解设计过程中的协作和决策.
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