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NSF-CNPq Collaborative Research: Development and Understanding of Automated Capture Environments to Support Long-Term Use.

NSF-CNPq Collaborative Research: Development and Understanding of Automated Capture Environments to Support Long-Term Use.
NSF-CNPq 合作研究:开发和理解自动捕获环境以支持长期使用。
批准号:
0070345
负责人:
Gregory Abowd
金额:
$20.17万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2000
资助国家:
美国
项目状态:
已结题
起止时间:
2000-07-15 至 2003-06-30

项目摘要

项目成果

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中文摘要
翻译
本研究的目的是扩展有关自动捕获环境的知识,以便更好地支持长期使用。在早期的工作中,目标是使捕获在任何时间点和短时间内成为无处不在的服务。然而,随着更多的实时事件被捕获,捕获的体验的视图被自动准备,可用的信息太多就成为一个问题。该项目的目标是找到随时间扩展的信息访问解决方案,随着时间的推移和更多信息的捕获,增加人类捕获的记忆的好处,而不是增加在沼泽记忆中寻找重要记忆的负担。将使用两种方法来解决这个问题。第一种方法是为捕获的体验创建特定于应用程序的信息模型。这导致捕获的经验包含在可搜索的经验存储库中。第二种方法是,在任何给定的应用程序中,只将捕获视为知识获取过程的一部分。具体地说,将构建一个通用基础设施,用于构建捕获和访问应用程序,以及存储、检索和可视化随时间发展的捕获体验的大型存储库。将探讨教育领域以及分布式协作会议中的捕获和访问。主要贡献是为建设捕获和访问应用程序提供一般支持,以及对教育和会议环境中捕获和访问的长期使用情况进行更深入的评估。
英文摘要
The purpose of this research is to extend knowledge about automated capture environments to better support long-term use. In earlier work, the goal was to make capture a ubiquitous service at any point in time and over a short period of time. However, as more live events are captured and views of the captured experiences are automatically prepared, having too much information available becomes a problem. The objective of this project is to find information access solutions that scale over time, increasing the benefit of captured memories for the human as time passes and more information is captured, rather than increasing the burden of foraging through a morass of memories to find ones of importance. Two approaches to this problem will be used. The first approach is to create an application-specific information model for a captured experience. This leads to captured experiences being contained in a searchable repository of experiences. The second approach is to view capture as only one part of the knowledge acquisition process in any given application. Specifically, a general infrastructure for building capture and access applications, and storing, retrieving and visualizing large repositories of captured experiences that evolve over time will be built. Capture and access in the educational domain as well as in distributed collaborative meetings will be explored. The major contribution is general support for the construction of capture and access applications as well as deeper evaluation of long-term use of capture and access in educational and meeting environments.
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NSF INCLUDES Alliance: Engineering PLUS (Partnerships Launching Underrepresented Students)
  • 批准号:
    2119930
  • 项目类别:
    Cooperative Agreement
  • 资助金额:
    $1000.0万
  • 财政年份:
    2021
  • 负责人:
    Gregory Abowd
  • 依托单位:
I-Corps: The Lock Screen Query (LSQ): Using the unlock interaction on mobile devices to gather relevant information
  • 批准号:
    1331439
  • 项目类别:
    Standard Grant
  • 资助金额:
    $5.0万
  • 财政年份:
    2013
  • 负责人:
    Gregory Abowd
  • 依托单位:
WORKSHOP: Doctoral Consortium for ASSETS 2013
  • 批准号:
    1355986
  • 项目类别:
    Standard Grant
  • 资助金额:
    $2.26万
  • 财政年份:
    2013
  • 负责人:
    Gregory Abowd
  • 依托单位:
SGER: Technologies to Support Early Detection of Developmental Delay in Children
  • 批准号:
    0745579
  • 项目类别:
    Standard Grant
  • 资助金额:
    $19.99万
  • 财政年份:
    2007
  • 负责人:
    Gregory Abowd
  • 依托单位:
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