{"title":"TARPS:增强协作式 AR 的隐私和安全的工具箱","authors":"S. Krings, Enes Yigitbas","doi":"10.1145/3660251","DOIUrl":null,"url":null,"abstract":"Modern AR applications collect a wide range of data to leverage context-specific functionalities. This includes data that might be private or security-critical (e.g., the camera view of a private home), calling for protective measures, especially in collaborative settings where data is inherently shared. A literature research revealed a lack of development support for privacy and security in collaborative AR. This makes it difficult for developers to find the time and resources to include protection mechanisms, leading to very limited options for end-users to control what data about them is shared. To address this problem, we present TARPS, a development Toolbox for enhancing collaborative AR applications with Privacy and Security protection mechanisms. TARPS is an out-of-the-box solution to add protection features to collaborative AR applications in a configurable manner. In developer interviews, the idea of TARPS was well received and an end-user study with an application created using TARPS showed that the included protection features were usable and accepted by end-users.","PeriodicalId":36902,"journal":{"name":"Proceedings of the ACM on Human-Computer Interaction","volume":"3 12","pages":"1 - 22"},"PeriodicalIF":0.0000,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"TARPS: A Toolbox for Enhancing Privacy and Security for Collaborative AR\",\"authors\":\"S. Krings, Enes Yigitbas\",\"doi\":\"10.1145/3660251\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Modern AR applications collect a wide range of data to leverage context-specific functionalities. This includes data that might be private or security-critical (e.g., the camera view of a private home), calling for protective measures, especially in collaborative settings where data is inherently shared. A literature research revealed a lack of development support for privacy and security in collaborative AR. This makes it difficult for developers to find the time and resources to include protection mechanisms, leading to very limited options for end-users to control what data about them is shared. To address this problem, we present TARPS, a development Toolbox for enhancing collaborative AR applications with Privacy and Security protection mechanisms. TARPS is an out-of-the-box solution to add protection features to collaborative AR applications in a configurable manner. In developer interviews, the idea of TARPS was well received and an end-user study with an application created using TARPS showed that the included protection features were usable and accepted by end-users.\",\"PeriodicalId\":36902,\"journal\":{\"name\":\"Proceedings of the ACM on Human-Computer Interaction\",\"volume\":\"3 12\",\"pages\":\"1 - 22\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the ACM on Human-Computer Interaction\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3660251\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the ACM on Human-Computer Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3660251","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0
摘要
现代 AR 应用程序会收集大量数据,以利用特定环境的功能。其中包括可能涉及隐私或安全的关键数据(如私人住宅的摄像头视图),需要采取保护措施,特别是在数据固有共享的协作环境中。文献研究显示,协作式 AR 中缺乏对隐私和安全的开发支持。这使得开发人员很难找到时间和资源来纳入保护机制,导致最终用户控制共享数据的选择非常有限。为了解决这个问题,我们推出了 TARPS,这是一个开发工具箱,用于通过隐私和安全保护机制增强协作式 AR 应用程序。TARPS 是一种开箱即用的解决方案,可通过可配置的方式为协作式 AR 应用程序添加保护功能。在对开发人员的访谈中,TARPS 的理念受到了广泛欢迎,而对使用 TARPS 创建的应用程序进行的最终用户研究表明,其中包含的保护功能是可用的,并得到了最终用户的认可。
TARPS: A Toolbox for Enhancing Privacy and Security for Collaborative AR
Modern AR applications collect a wide range of data to leverage context-specific functionalities. This includes data that might be private or security-critical (e.g., the camera view of a private home), calling for protective measures, especially in collaborative settings where data is inherently shared. A literature research revealed a lack of development support for privacy and security in collaborative AR. This makes it difficult for developers to find the time and resources to include protection mechanisms, leading to very limited options for end-users to control what data about them is shared. To address this problem, we present TARPS, a development Toolbox for enhancing collaborative AR applications with Privacy and Security protection mechanisms. TARPS is an out-of-the-box solution to add protection features to collaborative AR applications in a configurable manner. In developer interviews, the idea of TARPS was well received and an end-user study with an application created using TARPS showed that the included protection features were usable and accepted by end-users.