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Documenting and understanding everyday activities through the selective archiving of live experiences.

机译:通过对现场体验的选择性存档来记录和理解日常活动。

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摘要

This research focuses on the development and study of socially appropriate ways to archive data about important life experiences during unexpected and unstructured situations. This work involves three significant phases: formative studies to understand the data capture needs of particular populations of users in these situations; design and development of a technical architecture for capture and access in these settings coupled with design and development of applications for two specific domain problems; and evaluation of this solution as it pertains to these domain problems. The underlying solution presented in this dissertation is known as selective archiving, in which services are always on and available for recording but require some explicit action to archive data. If no such action is taken, recorded data is deleted automatically after a specified time.;Selectively archived segments of data can provide an efficient way to recover and to analyze high quality data that traditionally available. The projects presented in this dissertation provide insight about the ways in which we can support record-keeping in informal and unstructured settings. Furthermore, when examined together, these projects provide a view into the larger generalized problem of unstructured capture and access and the acceptability of capture technologies. These considerations evolved into a set of seven tensions surrounding recording technologies that are presented in this dissertation. Furthermore, the experiences surrounding the deployment and evaluation of selective archiving technologies demonstrate the ways in which people use different types of knowledge and cues from the world to determine their reactions to and adoption of such technologies.
机译:这项研究专注于开发和研究社交上合适的方式来存档有关意外和非结构化情况下重要生活经历的数据。这项工作涉及三个重要阶段:形成性研究,以了解在这种情况下特定用户群体的数据捕获需求;设计和开发用于在这些环境中进行捕获和访问的技术体系结构,以及针对两个特定领域问题的应用程序的设计和开发;并评估与这些领域问题有关的解决方案。本文提出的基础解决方案称为选择性归档,其中服务始终处于打开状态并可供记录,但需要采取一些明确的措施来归档数据。如果未采取任何措施,则记录的数据将在指定的时间后自动删除。有选择地存档的数据段可以提供一种有效的方法来恢复和分析传统上可用的高质量数据。本文介绍的项目提供了有关我们可以在非正式和非结构化环境中支持记录保存的方式的见解。此外,当一起研究时,这些项目将为非结构化捕获和访问以及捕获技术的可接受性这一更大的普遍问题提供一个视角。这些考虑因素演变成围绕录音技术的七种张力,本文提出了这些张力。此外,围绕选择性归档技术的部署和评估的经验表明,人们使用各种来自世界各地的不同类型的知识和线索来确定他们对此类技术的反应和采用情况。

著录项

  • 作者

    Hayes, Gillian R.;

  • 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 2007
  • 页码 355 p.
  • 总页数 355
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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