Viewing and analyzing multimodal human-computer tutorial dialogue: a database approach

Jack Mostow, J. Beck, Raghuvee Chalasani, Andrew Cuneo, Peng Jia
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引用次数: 27

Abstract

It is easier to record logs of multimodal human-computer tutorial dialogue than to make sense of them. In the 2000-2001 school year, we logged the interactions of approximately 400 students who used Project LISTEN's Reading Tutor and who read aloud over 2.4 million words. We discuss some difficulties we encountered converting the logs into a more easily understandable database. It is faster to write SQL queries to answer research questions than to analyze complex log files each time. The database also permits us to construct a viewer to examine individual Reading Tutor-student interactions. This combination of queries and viewable data has turned out to be very powerful, and we discuss how we have combined them to answer research questions.
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查看和分析多模态人机教程对话:数据库方法
记录多模式人机教程对话的日志要比理解它们容易得多。在2000-2001学年,我们记录了大约400名学生的互动,他们使用了“倾听计划”的阅读导师,大声朗读了240多万字。我们讨论了将日志转换为更容易理解的数据库时遇到的一些困难。编写SQL查询来回答研究问题比每次分析复杂的日志文件要快得多。该数据库还允许我们构建一个查看器来检查个别阅读导师与学生的互动。这种查询和可视数据的结合已经被证明是非常强大的,我们将讨论如何结合它们来回答研究问题。
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