CAREER: Augmenting Expertise Networks

职业：增强专业知识网络

• 批准号: 9702903
• 负责人: Mark Ackerman
• 金额: $ 29.13万
• 依托单位: University of California-Irvine
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-07-01 至 2002-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9702903&HistoricalAwards=false
• 关键词: CAREER; Augmenting; Expertise; Networks

The award supports research into Expertise Networks: the technical augmentation of the ad-hoc social networks by which people seek information, answer questions, and accomplish tasks. This research undertakes case studies of expertise use in current organizational setting in order to more fully understand the social requirement in augmenting an expertise network. The proposed research also designs, implements, and evaluates mechanisms for finding and storing expertise. A result of this research will be the Ad-Hoc Memory System designed to provide a range of services to augment expertise networks. This system includes distributed CSCW components such as information distilleries to create expertise artifacts from informal interactions, expertise beacons to signal the location of expertise agents to locate expertise, and user interface mechanisms to handle the increase in queries. The emphasis is on finding new ways to augment people's expertise, rather than automating, and in providing usability through examining social requirements.

该奖项支持对专家网络的研究：对临时社交网络的技术增强，人们通过它寻找信息、回答问题和完成任务。本研究对专业知识在当前组织环境中的使用进行了个案研究，以便更全面地了解在扩大专业知识网络方面的社会需求。这项拟议的研究还设计、实施和评估了寻找和存储专业知识的机制。这项研究的结果将是特设存储系统，旨在提供一系列服务来增强专业网络。该系统包括分布式CSCW组件，例如用于从非正式交互中创建专家人工产物的信息酿造厂、用于通知专家位置的专家信标、用于定位专家的代理、以及用于处理查询增加的用户界面机制。重点是寻找新的方法来增强人们的专业知识，而不是自动化，并通过检查社会需求来提供可用性。