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

这是通过文本和图形对话引擎、计划识别系统和利用这些工具的功能的交互管理器的联锁集合来实现的。用户开始询问有关其数据集中存储的数据的问题。系统使用文本和图形相结合的方式进行回答。文本响应是由话语引擎构建的，而图形图像是使用感知可视化助手构建的。对所有可能的回答的集合进行评估，以选择最有效的回答，可以是文本、图形或两者的组合。计划识别系统用于分析用户的查询以及他们对收到的回复的反应。这允许系统在评估和选择针对每个用户查询的适当答案期间预测未来查询、高速缓存相关统计数据、并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，以确定和模拟用户进行的当前和未来的分析；(2)对用户调查的当前和预期的未来状态敏感的演示；(3)辅助导航技术；(4)评估文本和/或图形使用的有效性的方法；以及(5)感知可视化技术。结果将通过期刊和会议出版物、具有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。尽管该项目将研究海洋学和公立学校领域的应用程序，但这些结果适用于大型复杂数据集的交互探索为required.http://www.csc.ncsu.edu/faculty/healey/NSF-IDM-00的任何情况

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