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。
基本信息
- 批准号:0070345
- 负责人:
- 金额:$ 20.17万
- 依托单位:
- 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
- 起止时间:2000-07-15 至 2003-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
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.
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。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Gregory Abowd其他文献
Gregory Abowd的其他文献
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{{ truncateString('Gregory Abowd', 18)}}的其他基金
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$ 20.17万 - 项目类别:
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研讨会:资产博士联盟 2013
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Inter-Agency Workshop on Smart Environments, Atlanta, Georgia
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9981995 - 财政年份:1999
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9818305 - 财政年份:1999
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9703384 - 财政年份:1997
- 资助金额:
$ 20.17万 - 项目类别:
Continuing Grant
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