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Using emotion to gain rapport in a spoken dialog system.

机译:在口语对话系统中运用情感获得融洽的关系。

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摘要

Although spoken dialog systems are becoming more widespread, their application is today limited largely to domains involving simple information exchange. To enable future applications, such as persuasion, new capabilities are needed. One barrier to the creation of such applications has been the lack of methods for building rapport between spoken dialog systems and human users, and more generally the inability to model the emotional and interpersonal aspects of dialog. This dissertation focuses on improving this.;A corpus of persuasive dialogs that in which a graduate coordinator informed undergraduate students about the graduate school option was analyzed. Although much of each dialog was involved in conveying factual information, there was also a heavy use of what appear to be rapport-building strategies. This seemed to occur through emotional coloring of the utterances of both coordinator and students as heard in prosodic variation, including variation in pitch, timing, and volume.;Some of these rapport-building strategies were modeled and implemented in a spoken dialog system named Gracie (Graduate Coordinator with Immediate-Response Emotions). Gracie is the first dialog system that uses emotion in voice to build rapport with users. This is accomplished by first detecting emotions from the user's voice, not classic emotions such as sadness, anger, and joy, but the more subtle emotions that are more common in spontaneous conversations. These subtle emotions are described with a dimensional approach, using the three dimensions of activation (active/passive), evaluation (positive, negative), and power (dominant/submissive). Once the user's emotional state is recognized, Gracie chooses an appropriate emotional coloring for the response.;To test the value of such emotional responsiveness, an experiment with 36 subjects examined whether a spoken dialog system that recognizes human emotion and reacts with appropriate emotion can help gain rapport with humans. Users felt significantly more rapport with Gracie to the controls, and in addition, users significantly preferred Gracie to the other two systems. This suggests that dialog systems that attempt to connect to users should vary their emotional coloring, as expressed through prosody, in response to the user's inferred emotional state.
机译:尽管口语对话系统变得越来越普遍,但是今天它们的应用主要限于涉及简单信息交换的领域。为了启用未来的应用程序,例如说服力,需要新的功能。创建此类应用程序的一个障碍是缺乏在口头对话系统和人类用户之间建立融洽关系的方法,更普遍的是,无法建模对话的情感和人际关系。本论文着重于改进这一方面。分析了一系列具有说服力的对话,在该对话中,研究生协调员向大学生介绍了研究生的选择。尽管每个对话中的许多都涉及事实信息的传递,但也大量使用了看起来融洽的建立策略。这似乎是由于韵律变化(包括音调,时间和音量的变化)中听到的对协调员和学生话语的情感着色而发生的;其中一些融洽的建立策略是在名为Gracie的口语对话系统中建模和实现的(具有立即响应情绪的研究生协调员)。 Gracie是第一个使用语音中的情感与用户建立融洽关系的对话系统。这是通过首先从用户的声音中检测情感来完成的,而不是检测经典的情感(如悲伤,愤怒和欢乐),而是检测自发对话中更常见的更微妙的情感。通过激活(主动/被动),评估(积极,消极)和力量(主要/顺从)三个维度,使用维度方法来描述这些微妙的情感。一旦识别出用户的情绪状态,格雷西就会为响应选择合适的情绪颜色;为测试这种情绪响应的价值,一项对36名受试者进行的实验研究了识别人的情绪并以适当的情绪做出反应的口语对话系统是否可以帮助您与人类融洽相处。用户感觉到Gracie与控件之间的关系更加融洽,此外,用户明显更喜欢Gracie,而不是其他两个系统。这表明尝试连接到用户的对话系统应响应用户推断的情感状态,改变通过韵律表达的情感色彩。

著录项

  • 作者

    Acosta, Jaime Cesar.;

  • 作者单位

    The University of Texas at El Paso.;

  • 授予单位 The University of Texas at El Paso.;
  • 学科 Computer Science.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 123 p.
  • 总页数 123
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 语言学;
  • 关键词

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