Adaptive Visual Dialog for Intelligent Tutoring Systems

被引：4

作者：

Ahn, Jae-wook ^{[1
]}

Chang, Maria ^{[1
]}

Watson, Patrick ^{[1
]}

Tejwani, Ravi ^{[1
]}

Sundararajan, Sharad ^{[1
]}

Abuelsaad, Tamer ^{[1
]}

Prabhu, Srijith ^{[1
]}

机构：

[1] IBM TJ Watson Res Ctr, 1101 Kitchawan Rd, Yorktown Hts, NY 10598 USA

来源：

ARTIFICIAL INTELLIGENCE IN EDUCATION, PT II | 2018年 / 10948卷

关键词：

Intelligent tutoring system; Conversational dialog systems; Adaptive visualization; Visual dialog;

D O I：

10.1007/978-3-319-93846-2_77

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Conversational dialog systems are well known to be an effective tool for learning. Modern approaches to natural language processing and machine learning have enabled various enhancements to conversational systems but they mostly rely on text- or speech-only interactions, which puts limits on how learners can express and explore their knowledge. We introduce a novel method that addresses such limitations by adopting a visualization that is coordinated with a text-based conversational interface. This allows learners to seamlessly perceive and express knowledge through language and visual representations.

引用

页码：413 / 418

页数：6

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