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Situationally Aware In-Car Information Presentation Using Incremental Speech Generation: Safer, and More Effective 使用增量语音生成的态势感知车载信息呈现:更安全、更有效
Pub Date : 2014-04-01 DOI: 10.3115/v1/W14-0212
Spyros Kousidis, C. Kennington, Timo Baumann, Hendrik Buschmeier, S. Kopp, David Schlangen
Holding non-co-located conversations while driving is dangerous (Horrey and Wickens, 2006; Strayer et al., 2006), much more so than conversations with physically present, “situated” interlocutors (Drews et al., 2004). In-car dialogue systems typically resemble non-co-located conversations more, and share their negative impact (Strayer et al., 2013). We implemented and tested a simple strategy for making in-car dialogue systems aware of the driving situation, by giving them the capability to interrupt themselves when a dangerous situation is detected, and resume when over. We show that this improves both driving performance and recall of system-presented information, compared to a non-adaptive strategy.
开车时进行非同一地点的谈话是危险的(Horrey和Wickens, 2006;Strayer et al., 2006),比与实际在场的“情境”对话者进行对话(Drews et al., 2004)要重要得多。车内对话系统通常更类似于非同地对话,并分享其负面影响(Strayer et al., 2013)。我们实施并测试了一种简单的策略,使车内对话系统能够感知驾驶情况,让它们在检测到危险情况时中断自己,并在结束后恢复。我们表明,与非自适应策略相比,这提高了驾驶性能和系统呈现信息的召回。
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引用次数: 17
Navigation Dialog of Blind People: Recovery from Getting Lost 盲人导航对话:从迷路中恢复
Pub Date : 2014-04-01 DOI: 10.3115/v1/W14-0210
J. Vystrcil, I. Maly, Jan Balata, Z. Míkovec
Navigation of blind people is different from the navigation of sighted people and there is also difference when the blind person is recovering from getting lost. In this paper we focus on qualitative analysis of dialogs between lost blind person and navigator, which is done through the mobile phone. The research was done in two outdoor and one indoor location. The analysis revealed several areas where the dialog model must focus on detailed information, like evaluation of instructions provided by blind person and his/her ability to reliably locate navigation points.
盲人的导航与正常人的导航是不同的,在盲人从迷路中恢复过来的时候也有不同。本文主要通过手机对迷路盲人与导航员的对话进行定性分析。该研究在两个室外和一个室内地点进行。分析揭示了对话模型必须关注详细信息的几个领域,比如对盲人提供的指令的评估以及他/她可靠定位导航点的能力。
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引用次数: 5
In-Car Multi-Domain Spoken Dialogs: A Wizard of Oz Study 车内多域口语对话:绿野仙踪研究
Pub Date : 2014-04-01 DOI: 10.3115/v1/W14-0201
Sven Reichel, U. Ehrlich, A. Berton, M. Weber
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.
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。
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引用次数: 4
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