Interactive Exploration of Complex Datasets Via the Effective Generation of Text and Graphics

这是通过文本和图形话语引擎、计划识别系统和利用这些工具功能的交互管理器的联锁集合来完成的。用户首先询问有关存储在其数据集中的数据的问题。该系统使用文本和图形的组合来回答问题。文本响应由话语引擎构建，而图形图像则使用感知可视化助手构建。评估所有可能答案的集合，以选择最有效的答案，无论是文本，图形还是两者的组合。计划识别系统用于分析用户的查询和他们对收到的响应的反应。这允许系统预测未来的查询，缓存相关统计数据，并在评估和选择每个用户查询的适当答案期间指导话语和可视化系统。该项目的成果将包括：(1)系统执行的计划识别和交互计划构建，以识别和模拟用户进行的当前和未来分析；(2)对使用者调查的当前和预期的未来状态都敏感的陈述；(3)辅助导航技术；（四）评价文字和/或图形使用有效性的方法；(5)感知可视化技术。研究结果将通过期刊和会议出版物、包含结果和分析的在线数据集以及相关研究组成部分的在线软件演示来传播。虽然该项目将研究海洋学和公立学校领域的应用，但这些结果适用于需要对大型复杂数据集进行交互式探索的任何情况。http://www.csc.ncsu.edu/faculty/healey/NSF-IDM-00

This is accomplished through an interlocking collection of textual and graphical discourse engines, a plan recognition system, and an interaction manager that harnesses the power of these tools. Users begin by asking questions about the data stored in their dataset. The system answers using a combination of text and graphics. Text responses are built by a discourse engine, while graphical images are constructed using a perceptual visualization assistant. The collection of all possible responses is evaluated to select the most effective answer, be it text, graphics, or a combination of the two. A plan recognition system is used to analyze the users' queries and their reactions to the responses they receive. This allows the system to anticipate future queries, cache relevant statistics, and guide the discourse and visualization systems during the evaluation and selection of appropriate answers to each user query. Results from this project will include: (1) plan recognition and interaction plan construction performed by the system to identify and model current and future analyses conducted by the users; (2) presentations that are sensitive to both the current and anticipated future state of users' investigations; (3) assisted navigation techniques; (4) methods for evaluating the effectiveness of the use of text and/or graphics; and (5) perceptual visualization techniques. Results will be disseminated through journal and conference publications, online datasets with results and analysis, and online software demos of relevant research components. Although this project will study applications from the oceanography and public school domains, these results are relevant in any situation where interactive exploration of large, complex datasets is required.http://www.csc.ncsu.edu/faculty/healey/NSF-IDM-00