CAREER: Intelligent Argument Generation in Text and Information Graphics

这是一个教师早期职业发展（CAREER）奖。 这项研究将开发计算机系统的技术，使用集成的文本和数据图形，向没有技术培训的人传达技术参数。 它将整合计算语言学和人机交互的经验方法。 将使用经验方法来确定向非技术背景的人传达技术论点的适当技术。 最初，该项目将开发基于人类创作的多媒体演示语料库的分析方法。 例如，语料库研究可以确定论点的哪些特征表明支持图形应该放在哪里。 接下来，人机交互实验将用于确定基于分析模型的技术的有效性，并研究被证明是不够的技术的替代方案。 由此产生的基于图形的技术将被纳入计算模型，将扩展当前的方法在自然语言生成，自动化图形设计，智能多媒体演示系统。 计算模型将被证明与遗传咨询的原型系统。 该项目的教育部分将包括新的课程设置，为计算机科学本科生和研究生提供参与研究的机会，并开发一个人机交互研究的实验室，这将是学生和其他教师的资源。这个职业生涯奖承认和支持教师的早期职业发展活动，一位有可能成为21世纪世纪学术领袖的学者。 她的研究旨在解决缺乏适当技术培训的人面临越来越多的责任，根据技术参数做出重要决策，通常涉及定量和统计数据。 如果在遗传咨询领域取得成功，这种方法可以应用于决策者在使用技术信息和分析方面需要帮助的许多其他领域。

This is a Faculty Early Career Development (CAREER) award. The research will develop techniques for computer systems to communicate technical arguments to people without technical training, using integrated text and data graphics. It will integrate empirical methods from computational linguistics and human-computer interaction. Empirical methods will be used to determine appropriate techniques for conveying technical arguments to people with non-technical backgrounds. Initially, the project will develop analytical methods based on a corpus of human-authored multimedia presentations. For example, corpus studies can determine which features of arguments suggest where supporting graphics should be placed. Next, human-computer interaction experiments will be used to determine the effectiveness of techniques based on the analytical models, and to investigate alternatives to the techniques that are shown not to be sufficient. The resulting empirically-based techniques will be incorporated into computational models that will extend current approaches in natural language generation, automated graphic design, and intelligent multimedia presentation systems. The computational models will be demonstrated with a prototype system for genetic counseling. The educational component of this project will include new course curriculum, provide undergraduate and graduate computer science students with the opportunity to participate in research, and develop a laboratory for human-computer interaction studies that will be a resource for students and other faculty members.This CAREER award recognizes and supports the early career-development activities of a teacher-scholar who is likely to become an academic leader of the twenty-first century. Her research seeks solutions for the problem that people who lack appropriate technical training are faced with increasing responsibility for making vital decisions based on technical arguments, often involving quantitative and statistical data. If successful in the area of genetic counseling, the approach could be applied to many other areas where decision makers need help in using technical information and analyses.