首页> 外文期刊>Concurrency, practice and experience >User attitudes and behaviors toward personalized control of privacy settings on smartphones
【24h】

User attitudes and behaviors toward personalized control of privacy settings on smartphones

机译:用户对智能手机上的隐私设置进行个性化控制的态度和行为

获取原文
获取原文并翻译 | 示例

摘要

The fine-grained access control has been proved to be a reliable tool to ensure preserving of privacy of end users. In fog computing, one of the challenges is to understand users' attitudes and behaviors toward personalized control. However, few of studies have given a clear view on users' perception of the burden of interactivity when they set complex privacy settings. To this end, we conducted a user study including a lab study with 26 participants and an evaluation with 223 participants. From the lab study, we found that participants were satisfied with improved privacy settings but did not adapt well to complex personalized interfaces.We proposed effective methods to assist users to balance between the full control and the additional interaction burden, including sorting, recommendations, and establishing profiles. After this lab study, we organized a survey evaluation additionally to explore users' current usage of privacy features. Results from the evaluation showed that the principle reason that users failed to use privacy features was that they were not appropriately aware of these features. A key conclusion is that privacy settings should not only let users take over the control of smartphones but also inform them of the knowledge on privacy practices.
机译:事实证明,细粒度的访问控制是确保保留最终用户隐私的可靠工具。在雾计算中,挑战之一是要了解用户对个性化控制的态度和行为。但是,很少有研究能清楚地了解用户在设置复杂的隐私设置时对交互负担的感知。为此,我们进行了一项用户研究,其中包括26名参与者的实验室研究和223名参与者的评估。通过实验室研究,我们发现参与者对改进的隐私设置感到满意,但对复杂的个性化界面不太满意。我们提出了有效的方法来帮助用户在完全控制和其他交互负担之间进行权衡,包括排序,建议和建立配置文件。在完成此实验研究之后,我们还组织了一次调查评估,以探索用户当前对隐私功能的使用情况。评估结果表明,用户未能使用隐私功能的主要原因是他们没有适当地意识到这些功能。一个关键结论是,隐私设置不仅应让用户接管智能手机的控制,而且还应告知他们有关隐私实践的知识。

著录项

  • 来源
    《Concurrency, practice and experience》 |2019年第22期|e4884.1-e4884.14|共14页
  • 作者单位

    School of Education Shaanxi Normal University Xi'an China;

    School of Information Science and Engineering Chinese Academy of Education Big Data Qufu Normal University Qufu China;

    Audiovisual Technology Lab Institute for Media Technology University of Technology Ilmenau Ilmenau Germany;

    School of Software and Microelectronics Northwestern Polytechnical University Xi'an China;

    Security in Telecommunications Telekom Innovation Laboratories Technische Universitat Berlin Berlin Germany;

    Department of Electrical and Computer Engineering The University of Auckland Auckland New Zealand;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    access control; fog computing; personalized privacy; smart phone; user study;

    机译:访问控制;雾计算个性化隐私;手机;用户研究;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号