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: 1640640
• 负责人: Jessica Vitak
• 金额: $ 14.89万
• 依托单位: University of Maryland, College Park
• 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=1640640&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.

移动技术的日益普及给用户带来了独特的隐私和监控挑战。这些问题是全球性的，但基于隐私方面的文化规范，用户、组织和政府应对这些挑战的方式各不相同。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程序时如何考虑和决定他们的隐私。该项目的主要目标是告知人们对数字时代隐私的思考方式和与数字自我有关的实际实施，重点是隐私、披露、移动性和监控之间的紧张关系。此外，这项研究突出了不同法律和文化框架下的隐私实践，为基础广泛的政策决策提供了重要影响。该项目与荷兰伊拉斯谟大学的研究人员合作，分为三个阶段。第一阶段初步了解三个新兴移动生态系统的隐私意识和实践：健康和健身跟踪(例如Fitbit)、移动消息应用程序(例如Whatsapp)和智能数字个人助理(例如Siri)。在这些发现的基础上，第二阶段涉及使用隐私片段的跨文化数据收集和分析，这允许识别和比较不同背景和文化的个人隐私规范。第三阶段的重点是向主要利益攸关方和政策制定者传播研究结果，并建立一个活跃在这一领域的研究人员国际工作组。在两个对隐私有着截然不同的文化概念的国家中，对隐私是如何概念化和实施的关注，扩展了我们对移动隐私的背景性质的理解，使海伦·尼森鲍姆将隐私作为背景完整性的工作得以扩展，同时也为采用Privacy by Design框架的研究人员和设计师提供了实际意义。

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

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.

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