EAGER: Collaborative: Mapping Privacy and Surveillance Dynamics in Emerging Mobile Ecosystems: Practices and Contexts in the Netherlands and US

EAGER：协作：绘制新兴移动生态系统中的隐私和监控动态：荷兰和美国的实践和背景

• 批准号: 1640697
• 负责人: Michael Zimmer
• 金额: $ 10.07万
• 依托单位: University of Wisconsin-Milwaukee
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-15 至 2019-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1640697&HistoricalAwards=false
• 关键词: EAGER; Collaborative; Mapping; Privacy; Surveillance

The increasing ubiquity of mobile technologies creates unique privacy and surveillance challenges for users. These problems are global, but the way users, organizations, and governments approach these challenges varies based on cultural norms around privacy. This cross-cultural project evaluates how mobile users in the U.S. and the Netherlands think about and make decisions about their privacy when using mobile apps. The project's primary goal is to inform both ways of thinking about privacy in the digital age and practical implementations that pertain to the digital self, with an emphasis on tensions between privacy, disclosure, mobility and surveillance. Furthermore, this study highlights privacy practices across different legal and cultural frameworks, providing important implications for broad-based policy decisions.In collaboration with researchers at Erasmus University in the Netherlands, this project has three phases. Phase 1 develops a preliminary understanding of privacy awareness and practices across three emerging mobile ecosystems: health and fitness tracking (e.g., Fitbit), mobile messaging apps (e.g., Whatsapp), and intelligent digital personal assistants (e.g., Siri). Building on these findings, Phase 2 involves cross-cultural data collection and analysis using privacy vignettes, which allows for identification and comparison of individuals' privacy norms across contexts and cultures. Phase 3 focuses on dissemination of findings to key stakeholders and policymakers, and building an international working group of researchers active in this space. The focus on unpacking how privacy is conceptualized and implemented across two countries with very different cultural conceptions of privacy expands our understanding of the contextual nature of mobile privacy "enabling an extension of Helen Nissenbaum's work on privacy as contextual integrity" while also providing practical implications for researchers and designers employing a Privacy by Design framework.

移动技术的无处不在，为用户带来了独特的隐私和监视挑战。这些问题是全球性的，但是用户，组织和政府应对这些挑战的方式会根据围绕隐私的文化规范而变化。这个跨文化项目评估了美国和荷兰的移动用户在使用移动应用时如何思考并决定其隐私。该项目的主要目标是指出与数字自我有关的数字时代和实际实现中隐私的思考方式，并着重于隐私，披露，移动性和监视之间的紧张局势。此外，这项研究强调了不同法律和文化框架的隐私实践，为基于广泛的政策决策提供了重要的影响。第1阶段对三个新兴移动生态系统的隐私意识和实践有了初步的了解：健康和健身跟踪（例如Fitbit），移动消息应用程序（例如WhatsApp）和智能的数字个人助理（例如WhatsApp）（例如，Siri）。在这些发现的基础上，第2阶段涉及使用隐私插图的跨文化数据收集和分析，从而可以识别和比较跨环境和文化的个人隐私规范。第三阶段的重点是向主要利益相关者和政策制定者传播发现，并建立了活跃于该领域的国际研究人员。关注于在两个国家之间如何概念化和实施隐私的隐私概念的关注，这扩展了我们对移动隐私的上下文性质的理解，“使海伦·尼森鲍姆（Helen Nissenbaum）将隐私的工作扩展为上下文完整性”，同时还为研究人员和设计师提供了通过设计框架采用隐私框架的研究人员的实践影响。

项目成果

Understanding the role of privacy and trust in intelligent personal assistant adoption

了解隐私和信任在智能个人助理采用中的作用

• DOI: 10.1007/978-3-030-15742-5_9
• 发表时间: 2019
• 期刊: Lecture Notes in Computer Science
• 作者: Liao, Y.;Vitak, J.;Kumar, P.;Zimmer, M.;Kritikos, K.
• 通讯作者: Kritikos, K.

A contextual approach to information privacy research

信息隐私研究的情境方法

• DOI: 10.1002/asi.24232
• 发表时间: 2019
• 期刊: Journal of the Association for Information Science and Technology
• 影响因子: 3.5
• 作者: Wu, Philip Fei;Vitak, Jessica;Zimmer, Michael T.
• 通讯作者: Zimmer, Michael T.

‘There’s nothing really they can do with this information’: unpacking how users manage privacy boundaries for personal fitness information

– 他们实际上对这些信息无能为力 –：了解用户如何管理个人健身信息的隐私边界

• DOI: 10.1080/1369118x.2018.1543442
• 发表时间: 2018
• 期刊: Communication & Society
• 作者: Zimmer, Michael;Kumar, Priya;Vitak, Jessica;Liao, Yuting;Chamberlain Kritikos, Katie
• 通讯作者: Chamberlain Kritikos, Katie

Intelligent Personal Assistants and the Intercultural Negotiations of Dataveillance in Platformed Households

• DOI: 10.24908/ss.v17i1/2.12936
• 发表时间: 2019
• 期刊: Surveillance & Society
• 影响因子: 2
• 作者: J. Pridmore;M. Zimmer;Jessica Vitak;A. Mols;D. Trottier;Priya C. Kumar;Yuting Liao

Privacy attitudes and data valuation among fitness tracker users

健身追踪器用户的隐私态度和数据评估

• 发表时间: 2018
• 期刊: Lecture notes in computer science
• 作者: Vitak, J.;Liao, Y.;Kumar, P.;Zimmer, M.;Kritikos, K.
• 通讯作者: Kritikos, K.