两种模型的叙事：理解数据工作者对复杂数据的内部与外部表征
A Tale of Two Models: Understanding Data Workers' Internal and External Representations of Complex Data
AI总结：
本研究通过访谈和草图，探究了十人团队对同一数据模型的心智表征差异，发现即使设计者也存在不同理解，并据此提出数据分析流程与工具的设计干预建议。
摘要：
数据工作者对其数据的心智模型可能与代码中具体化的模型不同。理解数据的组织方式对于通过脚本、可视化或抽象思维分析数据至关重要。更复杂的组织，例如带有附加层次结构的表格，可能会加重人们思考和交互数据的能力负担。为了更好地理解并最终为这些情境进行设计，我们开展了一项研究，涉及一个由十人组成的团队，他们使用相同的数据模型。通过访谈和草图绘制，我们探究了他们对数据模型的概念，并通过反思性数据分析发展出主题。参与者拥有多样化的数据模型，这些模型与具体化的模型不同，即使是在设计该模型的团队成员中也是如此，这导致了平行的障碍，限制了他们对数据进行推理的能力。基于这些观察，我们提出了针对数据分析过程和工具的潜在设计干预措施。
英文摘要：
Data workers may have a a different mental model of their data that the one reified in code. Understanding the organization of their data is necessary for analyzing data, be it through scripting, visualization or abstract thought. More complicated organizations, such as tables with attached hierarchies, may tax people's ability to think about and interact with data. To better understand and ultimately design for these situations, we conduct a study across a team of ten people working with the same reified data model. Through interviews and sketching, we probed their conception of the data model and developed themes through reflexive data analysis. Participants had diverse data models that differed from the reified data model, even among team members who had designed the model, resulting in parallel hazards limiting their ability to reason about the data. From these observations, we suggest potential design interventions for data analysis processes and tools.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
