In this paper we investigate how natural language interfaces can be integrated with cars in a way such that their influence on driving performance is being minimized. In particular, we focus on how speech-based interaction can be supported through a visualization of the conversation. Our work is motivated by the fact that speech interfaces (like Alexa, Siri, Cortana, etc.) are increasingly finding their way into our everyday life. We expect such interfaces to become commonplace in vehicles in the future. Cars are a challenging environment, since speech interaction here is a secondary task that should not negatively affect the primary task, that is driving. At the outset of our work, we identify the design space for such interfaces. We then compare different visualization concepts in a driving simulator study with 64 participants. Our results yield that (1) text summaries support drivers in recalling information and enhances user experience but can also increase distraction, (2) the use of keywords minimizes cognitive load and influence on driving performance, and (3) the use of icons increases the attractiveness of the interface.

中文翻译：

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可视化对话式车载信息系统的自然语言交互，以最大程度地减少驾驶员的分心

在本文中，我们研究了如何将自然语言界面与汽车集成在一起，以使其对驾驶性能的影响最小化。特别是，我们专注于如何通过可视化对话来支持基于语音的交互。语音接口（例如Alexa，Siri，Cortana等）越来越多地进入我们的日常生活，这一事实激发了我们的工作动力。我们希望此类接口将来在车辆中变得司空见惯。汽车是一个充满挑战的环境，因为这里的语音交互是次要任务，不应对主要任务（即驾驶）产生负面影响。在我们的工作之初，我们确定了此类接口的设计空间。然后，我们在64位参与者的驾驶模拟器研究中比较了不同的可视化概念。