{"title":"Zero-configuration Alarms: Towards Reducing Distracting Smartphone Interactions while Driving","authors":"Sugandh Pargal, Neha Dalmia, Harshal R. Borse, Bivas Mitra, Sandip Chakraborty","doi":"10.1145/3675159","DOIUrl":null,"url":null,"abstract":"\n 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\n ZeCA\n , 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.\n ZeCA\n 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\n ZeCA\n with 50 different models of vehicles driven by 70 drivers over 5 countries indicates that the proposed solution can infer distracting smartphone interactions with\n \n \\(\\gt 80\\% \\)\n \n accuracy and a\n \n \\(70\\% \\)\n \n reduction in smartphone usage during driving.\n","PeriodicalId":505364,"journal":{"name":"ACM Journal on Computing and Sustainable Societies","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Journal on Computing and Sustainable Societies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3675159","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.