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'Sometimes Less is More': Multi-Perspective Exploration of Disclosure Abstractions in Location-Aware Social Mobile Applications.

机译：“有时，少即是多”：位置感知的社交移动应用程序中的披露抽象的多角度探索。

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摘要

In the past few years, there has been increasing interest in deploying social location-sharing applications (LSAs) that enable users to continuously sense, collect, and share their location information with others. Yet, despite all the attention LSAs are receiving, studies have found that only a small percentage of mobile consumers actively use these services. One often-cited adoption barrier is that many LSAs do not adequately address end-user privacy concerns for sharing location data.;One way to address these privacy concerns is to incorporate support for disclosure abstractions in LSAs. These abstractions provide a middle-ground compromise that provides some degree of privacy protection for end-users, as well as some degree of social value to the users who are consuming the location information. In this dissertation, we look at two specific kinds of abstractions: geographic abstractions (which provide spatial blurring of one's location) and semantic abstractions (which provide obfuscation by referring to the type of location a place is, rather than by its geographical coordinates).;We present results from several studies that examine these abstractions at four different stages: how users reason about location sharing, how users configure their privacy preferences, how users interpret visual representations of their location, and what kinds of outcomes can be expected from users that share abstractions. Based on these studies, we provide empirical evidence that relatively simple privacy mechanisms like disclosure abstractions can simplify rule-based privacy configurations and increase the likelihood of location sharing, though there is still a significant chance that abstractions can be reverse-engineered. Based on qualitative user feedback, we also present several privacy implications for visualizing location information as well. By studying these issues with different types of location sharing applications as well as different user study methodologies, we provide a multi-perspective exploration of end-user privacy concerns regarding general location sharing behaviors for context-aware social mobile applications.
机译：在过去的几年中，对部署社交位置共享应用程序（LSA）的兴趣日益浓厚，该应用程序使用户能够不断感知，收集并与他人共享其位置信息。然而，尽管LSA受到了所有关注，但研究发现，只有一小部分的移动用户积极使用这些服务。一个经常被引用的采用障碍是，许多LSA在共享位置数据时并未充分解决最终用户隐私问题。解决这些隐私问题的一种方法是在LSA中纳入对公开抽象的支持。这些抽象提供了中间立场的折衷，可以为最终用户提供一定程度的隐私保护，并为使用位置信息的用户提供一定程度的社会价值。在本文中，我们研究了两种特定类型的抽象：地理抽象（提供一个人的位置的空间模糊）和语义抽象（通过引用一个地方的位置类型而不是其地理坐标来提供混淆）。 ；我们提出了一些研究的结果，这些研究在四个不同阶段检查了这些抽象：用户如何考虑位置共享，用户如何配置其隐私首选项，用户如何解释其位置的视觉表示以及可以期望用户获得什么样的结果？共享抽象。基于这些研究，我们提供了经验证据，即相对简单的隐私机制（如披露抽象）可以简化基于规则的隐私配置并增加位置共享的可能性，尽管仍有相当大的机会可以对逆向工程进行抽象。基于定性的用户反馈，我们还提出了一些可视化位置信息的隐私问题。通过使用不同类型的位置共享应用程序以及不同的用户研究方法研究这些问题，我们提供了对最终用户隐私问题的多角度探索，这些关注点涉及上下文感知的社交移动应用程序的常规位置共享行为。

著录项

  • 作者

    Tang, Karen P.;

  • 作者单位

    Carnegie Mellon University.;

  • 授予单位 Carnegie Mellon University.;
  • 学科 Information Technology.;Computer Science.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 155 p.
  • 总页数 155
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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