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Exploring and visualizing the impact of multiple shared displays on collocated meeting practices.

机译:探索并可视化多个共享显示对并置会议实践的影响。

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摘要

A tremendous amount of information is produced in the world around us, both as a product of our daily lives and as artifacts of our everyday work. An emerging area of Human-Computer Interaction (HCI) focuses on helping individuals manage this flood of information. Prior research shows that multiple displays can improve an individual user's ability to deal with large amounts of information, but it is unclear whether these advantages extend for teams of people. This is particularly relevant as more employees are spending large portions of their workdays in meetings.;My contribution to HCI research is empirical fieldwork and laboratory studies investigating how multiple shared displays improve aspects of teamwork. In particular, I present an insight-based evaluation method for analyzing how teams collaborate on a data-intensive sensemaking task. Using this method, I show how the presence and location of multiple shared displays impacted the meeting process with respect to performance, collaboration, and satisfaction. I also illustrate how multiple shared displays engaged team members who might not have otherwise contributed to the collaboration process.;Finally, I present Mimosa, a software tool developed to visualize large volumes of time series data. Mimosa combines aspects of information visualization with data analysis, facilitating a deep and iterative exploration of relationships within large datasets.
机译:作为我们日常生活的产物和我们日常工作的产物,我们周围的世界产生了大量的信息。人机交互(HCI)的新兴领域致力于帮助个人管理这种信息泛滥。先前的研究表明,多个显示器可以提高单个用户处理大量信息的能力,但是尚不清楚这些优势是否会扩展到团队中。随着越来越多的员工将大部分工作时间花在会议上,这尤其有意义。我对HCI研究的贡献是实地调查和实验室研究,研究多个共享显示如何改善团队合作。特别是,我提出了一种基于洞察力的评估方法,用于分析团队如何在数据密集型的推理任务上进行协作。使用这种方法,我展示了多个共享显示的存在和位置如何影响会议过程的绩效,协作和满意度。我还说明了多个共享显示如何与可能没有其他作用的团队成员进行协作。最后,我介绍了Mimosa,这是一种开发用于可视化大量时间序列数据的软件工具。 Mimosa将信息可视化的各个方面与数据分析相结合,从而有助于对大型数据集中的关系进行深入且迭代的探索。

著录项

  • 作者

    Plaue, Christopher Michael.;

  • 作者单位

    Georgia Institute of Technology.;

  • 授予单位 Georgia Institute of Technology.;
  • 学科 Computer Science.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 224 p.
  • 总页数 224
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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