Speech-Plans: Generating Evaluative Responses in Spoken Dialogue
Speech-Plans: Generating Evaluative Responses in Spoken Dialogue
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演讲计划：在口语对话中生成评价性反应
DOI：
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发表时间：
2002
期刊：
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通讯作者：
Gunaranjan Vasireddy
中科院分区：
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作者：
M. Walker;S. Whittaker;Amanda Stent;Preetam Maloor;Johanna D. Moore;Michael Johnston;Gunaranjan Vasireddy
口语对话系统的评估最近的工作表明，需要更好的算法来呈现语音中的复杂信息。当前的对话系统通常依赖于顺序地呈现选项集及其属性。这给用户带来了很大的内存负担，他们必须记住多个选项及其属性之间的复杂权衡。为了解决这些问题，我们建立在以前的工作，使用多属性决策理论设计语音规划算法，提出用户定制的摘要，比较和建议，让用户专注于选项和它们的属性之间的关键差异。我们讨论了语音和文本规划之间的差异，从语音的特定要求的情况。
Recent work on evaluation of spoken dialogue systems indicates that better algorithms are needed for the presentation of complex information in speech. Current dialogue systems often rely on presenting sets of options and their attributes sequentially. This places a large memory burden on users, who have to remember complex trade-offs between multiple options and their attributes. To address these problems we build on previous work using multiattribute decision theory to devise speech-planning algorithms that present usertailored summaries, comparisons and recommendations that allow users to focus on critical differences between options and their attributes. We discuss the differences between speech and text planning that result from the particular demands of the speech situation.