CAREER: Augmenting Expertise Networks

该奖项支持对专家网络的研究：技术增强的特设社会网络，人们通过该网络寻找信息、回答问题和完成任务。本研究对当前组织环境下的专业知识使用进行个案研究，以更全面地了解社会对扩大专业知识网络的需求。建议的研究还设计、实现和评估寻找和存储专业知识的机制。这项研究的结果将是Ad-Hoc记忆系统，旨在提供一系列服务，以增强专家网络。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工件的信息蒸馏器、用于指示专家代理位置以定位专家的专家信标，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。

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.