Visual and Cognitive Demands of CarPlay, Android Auto, and Five Native Infotainment Systems
Visual and Cognitive Demands of CarPlay, Android Auto, and Five Native Infotainment Systems
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CarPlay、Android Auto 和五种原生信息娱乐系统的视觉和认知需求
DOI：
10.1177/0018720819836575
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
W. Horrey
中科院分区：
文献类型：
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作者：
D. Strayer;J. Cooper;Madeleine M. McCarty;Douglas J. Getty;Camille L. Wheatley;Conner J. Motzkus;Rachel Goethe;F. Biondi;W. Horrey
目的：本研究将五家不同汽车原始设备制造商(OEM)常用的车载信息系统与CarPlay和Android Auto在同一车辆上使用时的工作量进行了比较和对比。背景：越来越多的趋势是提供对基于便携式智能手机的系统(例如CarPlay和Android Auto)的访问，这些系统支持扩展各种车载信息娱乐系统的特性和功能。方法/结果：这项研究对24名参与者进行了道路测试，五辆车的每种配置都与三种不同的信息娱乐系统交叉：本地OEM系统的嵌入式部分、CarPlay和Android Auto。我们的分析发现，与CarPlay和Android Auto相比，本地OEM系统的嵌入式部分的工作量要大得多。CarPlay和Android Auto的优势和劣势相互权衡，因此与使用这两个系统相关的总体需求没有什么不同。结论：与本地OEM信息娱乐系统的嵌入式部分相比，CarPlay和Android Auto提供了更多的功能，并导致了更低的工作量水平。应用：这项研究的潜在应用包括对CarPlay和Android Auto的改进，以解决作为任务类型、交互方式和系统的OEM实施功能的工作量变化。
Objective: The present research compared and contrasted the workload associated with using in-vehicle information systems commonly available in five different automotive original equipment manufacturers (OEMs) with that of CarPlay and Android Auto when used in the same vehicles. Background: A growing trend is to provide access to portable smartphone-based systems (e.g., CarPlay and Android Auto) that support an expansion of various in-vehicle infotainment system features and functions. Method/Results: The study involved on-road testing of 24 participants in each configuration of five vehicles crossed with the three different infotainment systems: the embedded portion of the native OEM systems, CarPlay, and Android Auto. Our analysis found that workload was significantly greater for the embedded portion of the native OEM systems than for CarPlay and Android Auto. The strengths and weaknesses of each CarPlay and Android Auto traded off in such a way that the overall demand associated with using the two systems did not differ. Conclusion: CarPlay and Android Auto provided more functionality and resulted in lower levels of workload than the embedded portion of the native OEM infotainment systems. Application: Potential applications of this research include refinements to CarPlay and Android Auto to address variations in workload as a function of task type, the modality of interaction, and OEM implementation of the system.