Tracking Footprints Through an Information Space: Leveraging the Document Selections of Expert Problem Solvers

通过信息空间跟踪足迹：利用专家问题解决者的文档选择

• 批准号: 9817492
• 负责人: Paul Gorman
• 金额: $ 65万
• 依托单位: Oregon Health & Science University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-01-01 至 2003-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9817492&HistoricalAwards=false
• 关键词: Tracking; Footprints; Through; Information; Space

The goal of this project is to help expert problem solvers find needed information in a large, complex information space. The focus is on one example of expert problem solving; the health care field. Sorting through such a heterogeneous collection of electronic and other media materials to find needed information, sometimes under time duress can be formidable. This project proposes to capture the trace of information used by experts - to monitor the paths taken and collection resources used by, in this case physicians, in moving from observation, to information gathering, to solution of a given health care problem. By capturing the artifactual trace information associated with information seeking and selection, it is hypothesized that greater insight can be gained into behaviors of users and patterns of usage. This knowledge can then be fed-back into the design and development of new information environments. The work will be conducted by a cross-disciplinary team comprised of an MD focusing on information seeking behaviors of physicians, and a group of computer scientists focussing on extracting and using regulary structured information. The usefulness of the approaches will be tested in domains other than health care, in particular the aircraft design industry through the active support of the Boeing Corporation.

这个项目的目标是帮助解决问题的专家在庞大、复杂的信息空间中找到所需的信息。重点是专家解决问题的一个例子；医疗保健领域。在如此异质的电子和其他媒体材料集合中进行分类以找到所需的信息，有时在时间的胁迫下可能是令人生畏的。该项目建议捕捉专家使用信息的踪迹——监测所采取的路径，并收集医生（在本例中是医生）从观察到信息收集，再到解决给定的卫生保健问题所使用的资源。通过捕获与信息搜索和选择相关的人工跟踪信息，假设可以更深入地了解用户的行为和使用模式。这些知识可以反馈到新信息环境的设计和开发中。这项工作将由一个跨学科小组进行，该小组由一名专注于医生信息寻求行为的医学博士和一组专注于提取和使用常规结构化信息的计算机科学家组成。将通过波音公司的积极支持，在医疗保健以外的领域，特别是飞机设计行业，检验这些方法的有用性。