车内多域口语对话:绿野仙踪研究

DM@EACL Pub Date : 2014-04-01 DOI:10.3115/v1/W14-0201
Sven Reichel, U. Ehrlich, A. Berton, M. Weber
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引用次数: 4

摘要

随着越来越多的驾驶员喜欢在驾驶时上网,通过智能手机接入移动互联网对车载信息娱乐系统提出了更高的要求。与基于视觉/触觉的对话系统相比,语音对话系统通过更少分散注意力的交互来支持用户。为了开发一个直观和可用的口语对话系统,对交互概念进行广泛的分析是必要的。我们进行了一项绿野仙踪研究,以调查用户在驾驶时如何在仅支持语音的、用户主动的信息娱乐系统中执行涉及多个应用程序的任务。结果表明,用户对不同的应用没有意识,并且在任务切换中使用回指表达。说话风格因任务类型和对话状态而异。用户交互效率高,在一个话语中提供多个语义概念。这对未来的口语对话系统提出了很高的要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
In-Car Multi-Domain Spoken Dialogs: A Wizard of Oz Study
Mobile Internet access via smartphones puts demands on in-car infotainment systems, as more and more drivers like to access the Internet while driving. Spoken dialog systems support the user by less distracting interaction than visual/hapticbased dialog systems. To develop an intuitive and usable spoken dialog system, an extensive analysis of the interaction concept is necessary. We conducted a Wizard of Oz study to investigate how users will carry out tasks which involve multiple applications in a speech-only, user-initiative infotainment system while driving. Results show that users are not aware of different applications and use anaphoric expressions in task switches. Speaking styles vary and depend on type of task and dialog state. Users interact efficiently and provide multiple semantic concepts in one utterance. This sets high demands for future spoken dialog systems.
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