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  2. 了解协作设计过程的多式模式框架.
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    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.