{"title":"安全行驶领域:使用位置和运动信息来提高驾驶员对行人警报的接受度","authors":"Kip Smith, Jan-Erik Källhammer","doi":"10.1109/IVS.2012.6232163","DOIUrl":null,"url":null,"abstract":"We investigated five contextual variables likely to influence driver acceptance of alerts to pedestrians issued by a night vision active safety system. Two of the five, pedestrian location and motion, were found to influence ratings. Hierarchical regression revealed that a nominal characterization of pedestrian location and two quantitative measures of motion explain more than 61% of the variance in driver ratings and do not interact. We discuss the implications of this finding for the specification of the system's alerting strategies.","PeriodicalId":402389,"journal":{"name":"2012 IEEE Intelligent Vehicles Symposium","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Field of safe travel: Using location and motion information to increase driver acceptance of pedestrian alerts\",\"authors\":\"Kip Smith, Jan-Erik Källhammer\",\"doi\":\"10.1109/IVS.2012.6232163\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We investigated five contextual variables likely to influence driver acceptance of alerts to pedestrians issued by a night vision active safety system. Two of the five, pedestrian location and motion, were found to influence ratings. Hierarchical regression revealed that a nominal characterization of pedestrian location and two quantitative measures of motion explain more than 61% of the variance in driver ratings and do not interact. We discuss the implications of this finding for the specification of the system's alerting strategies.\",\"PeriodicalId\":402389,\"journal\":{\"name\":\"2012 IEEE Intelligent Vehicles Symposium\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE Intelligent Vehicles Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IVS.2012.6232163\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Intelligent Vehicles Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IVS.2012.6232163","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Field of safe travel: Using location and motion information to increase driver acceptance of pedestrian alerts
We investigated five contextual variables likely to influence driver acceptance of alerts to pedestrians issued by a night vision active safety system. Two of the five, pedestrian location and motion, were found to influence ratings. Hierarchical regression revealed that a nominal characterization of pedestrian location and two quantitative measures of motion explain more than 61% of the variance in driver ratings and do not interact. We discuss the implications of this finding for the specification of the system's alerting strategies.
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