SoCS: Collaborative Research: Leveraging Others' Insights to Improve Collaborative Analysis

SoCS：协作研究：利用他人的见解来改进协作分析

• 批准号: 0968583
• 负责人: Sara Kiesler
• 金额: $ 24.99万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-07-01 至 2015-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0968583&HistoricalAwards=false
• 关键词: SoCS; Collaborative; Research; Leveraging; Others

This research seeks to improve collaborative analysis in fields such as criminal justice, intelligence, and epidemiology by developing tools that capture and represent essential elements of analytic conversations. The work has three major aims: (a) understanding how team hypotheses, insights, and problem orientation are reflected in their conversations; (b) developing and testing natural language processing (NLP) techniques to detect teams? hypotheses, insights, and problem orientation; and (c) developing and testing methods to communicate the results of NLP analyses to provide teams with feedback on their own and other teams? reasoning processes. These goals are addressed through behavioral studies, NLP research, and tool development and evaluation.Intellectual merit: The project provides unique contributions in four areas: (a) understanding how team analytical processes are evidenced in team communication; (b) advancing the state-of-the art in NLP by developing discourse analysis techniques for use in collaborative analysis applications; (c) applying NLP techniques to the support of team analytical processes; and (d) designing interfaces to provide feedback within and across teams. The research also furthers the training and education of undergraduate and graduate students. Broader impact: The project has the potential to improve collaborative investigative analysis in many fields of critical importance to society, including criminal justice, intelligence, science, and epidemiology. The results will provide new tools for analysts, recommendations for organizational practices to improve the quality of collaborative analysis, new methods for training professional analysts, and new learning tools for graduate programs in fields such as epidemiological analysis and criminal justice.

这项研究寻求通过开发捕捉和表示分析对话的基本要素的工具来改进刑事司法、情报和流行病学等领域的协作分析。这项工作有三个主要目标：(A)了解团队假设、见解和问题导向是如何反映在他们的对话中的；(B)开发和测试自然语言处理(NLP)技术来检测团队？假设、见解和问题导向；以及(C)开发和测试方法，以传达NLP分析的结果，以向团队提供关于他们自己和其他团队的反馈？推理过程。这些目标是通过行为研究、自然语言处理研究以及工具开发和评估来实现的。智力优势：该项目在四个领域提供独特的贡献：(A)理解团队分析过程如何在团队沟通中得到证明；(B)通过开发用于协作分析应用的话语分析技术来促进自然语言处理的最新水平；(C)应用自然语言处理技术来支持团队分析过程；以及(D)设计界面以在团队内部和团队之间提供反馈。这项研究也进一步促进了本科生和研究生的培养和教育。更广泛的影响：该项目有可能改善许多对社会至关重要的领域的协作调查分析，包括刑事司法、情报、科学和流行病学。研究结果将为分析员提供新的工具，为提高协作分析质量的组织实践提供建议，为培训专业分析员提供新的方法，并为流行病学分析和刑事司法等领域的研究生课程提供新的学习工具。