{"title":"Trading-off location accuracy and service quality: Privacy concerns and user profiles","authors":"Z. Gardner, D. Leibovici, A. Bassiri, G. Foody","doi":"10.1109/ICL-GNSS.2017.8376244","DOIUrl":null,"url":null,"abstract":"Location privacy has become a growing concern impeding the adoption of many Location Based Services (LBS). Although there have been several approaches, such as anonymisation or obfuscation of location data, none has yet been completely successful at addressing privacy protection. This paper discusses the results of 256 survey responses which show that users' demands, expectations and concerns vary significantly among different user groups (by age, education, income, technological experience and social media activity) and infer that there is no ‘one fit for all’ solution for different LBS applications due to the variation in use.","PeriodicalId":330366,"journal":{"name":"2017 International Conference on Localization and GNSS (ICL-GNSS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Localization and GNSS (ICL-GNSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICL-GNSS.2017.8376244","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
Location privacy has become a growing concern impeding the adoption of many Location Based Services (LBS). Although there have been several approaches, such as anonymisation or obfuscation of location data, none has yet been completely successful at addressing privacy protection. This paper discusses the results of 256 survey responses which show that users' demands, expectations and concerns vary significantly among different user groups (by age, education, income, technological experience and social media activity) and infer that there is no ‘one fit for all’ solution for different LBS applications due to the variation in use.
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