Zero-configuration Alarms: Towards Reducing Distracting Smartphone Interactions while Driving

Sugandh Pargal, Neha Dalmia, Harshal R. Borse, Bivas Mitra, Sandip Chakraborty
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Abstract

The rising ubiquity of smartphones for navigation, driver mode, etc., has increased their use significantly among drivers; however, there are growing numbers of road fatalities being reported due to distractions from the phone while driving. In contrast to the existing solutions that use a camera or other communication media on the car or need external setups, this paper proposes a solution called ZeCA , where the smartphone itself can identify in real-time with zero pre-configurations whether its user is driving while engaging in a high-distraction interaction with the phone. ZeCA runs as a smartphone background service and generates audio-visual alerts when the phone can distract the driver. A thorough evaluation and usability study of ZeCA with 50 different models of vehicles driven by 70 drivers over 5 countries indicates that the proposed solution can infer distracting smartphone interactions with \(\gt 80\% \) accuracy and a \(70\% \) reduction in smartphone usage during driving.
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零配置警报:减少驾驶时智能手机的分心互动
随着智能手机在导航、驾驶模式等方面的普及,驾驶员对智能手机的使用大幅增加;然而,由于驾驶时分心使用手机而导致的道路死亡事故也越来越多。与使用汽车上的摄像头或其他通信介质或需要外部设置的现有解决方案相比,本文提出了一种名为 ZeCA 的解决方案,即智能手机本身可以在零预配置的情况下实时识别用户是否在驾驶时与手机进行高分心互动。ZeCA 以智能手机后台服务的形式运行,当手机可能分散驾驶员注意力时会发出视听警报。对ZeCA的全面评估和可用性研究表明,所提出的解决方案可以准确推断出分心的智能手机交互,并减少驾驶过程中的智能手机使用。
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