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Situationally Aware In-Car Information Presentation Using Incremental Speech Generation; Safer, and More Effective

机译:使用增量语音生成的情境感知车内信息呈现;更安全,更有效

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摘要

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.
机译:开车时进行非同处谈话很危险(Horrey和Wickens,2006; Strayer等,2006),远比与实际在场的“处境”对话者进行谈话(Drews等,2004)。车内对话系统通常更像是不在同一地点的对话,并共享它们的负面影响(Strayer等,2013)。我们实施并测试了一种简单的策略,通过使汽车对话系统能够在检测到危险情况时中断自身并在结束后恢复运行,从而使他们能够了解驾驶情况。我们显示,与非自适应策略相比,这可以提高驾驶性能和系统呈现的信息的回忆性。

著录项

  • 来源
    《Workshop on dialogue in motion》|2014年|68-72|共5页
  • 会议地点 Gothenburg(SE)
  • 作者单位

    Dialogue Systems Group - Bielefeld University;

    Dialogue Systems Group - Bielefeld University,CITEC - Bielefeld University;

    Department of Informatics, Natural Language Systems Division - University of Hamburg;

    CITEC - Bielefeld University,Sociable Agents Group - Bielefeld University;

    CITEC - Bielefeld University,Sociable Agents Group - Bielefeld University;

    Dialogue Systems Group - Bielefeld University;

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  • 原文格式 PDF
  • 正文语种 eng
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