{"title":"研究android应用程序权限请求的有效性","authors":"Kevin Benton, L. Camp, Vaibhav Garg","doi":"10.1109/PerComW.2013.6529497","DOIUrl":null,"url":null,"abstract":"Popular platforms including Android and Facebook have adopted a permissions-based model. Under this model applications (apps) are required to declare specific access to user information required for functionality. We conducted two user studies on Amazon's Mechanical Turk to test the efficacy of these permissions requests on the Android platform. We found permissions were ineffective, even with the addition of an additional text warning. Conversely, we found that an app's download count had a strong effect on app installations. In order to determine if it was a failure of our text-based warning, we ran a second experiment with a previously proven visual indicator.","PeriodicalId":101502,"journal":{"name":"2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"55","resultStr":"{\"title\":\"Studying the effectiveness of android application permissions requests\",\"authors\":\"Kevin Benton, L. Camp, Vaibhav Garg\",\"doi\":\"10.1109/PerComW.2013.6529497\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Popular platforms including Android and Facebook have adopted a permissions-based model. Under this model applications (apps) are required to declare specific access to user information required for functionality. We conducted two user studies on Amazon's Mechanical Turk to test the efficacy of these permissions requests on the Android platform. We found permissions were ineffective, even with the addition of an additional text warning. Conversely, we found that an app's download count had a strong effect on app installations. In order to determine if it was a failure of our text-based warning, we ran a second experiment with a previously proven visual indicator.\",\"PeriodicalId\":101502,\"journal\":{\"name\":\"2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)\",\"volume\":\"71 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-03-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"55\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PerComW.2013.6529497\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PerComW.2013.6529497","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Studying the effectiveness of android application permissions requests
Popular platforms including Android and Facebook have adopted a permissions-based model. Under this model applications (apps) are required to declare specific access to user information required for functionality. We conducted two user studies on Amazon's Mechanical Turk to test the efficacy of these permissions requests on the Android platform. We found permissions were ineffective, even with the addition of an additional text warning. Conversely, we found that an app's download count had a strong effect on app installations. In order to determine if it was a failure of our text-based warning, we ran a second experiment with a previously proven visual indicator.