TC: Small: Online Privacy and Senior Citizens: A Socio-Technical Multi-Perspective Framework for Trustworthy Operations

TC：小：在线隐私和老年人：可信赖运营的社会技术多视角框架

• 批准号: 0916612
• 负责人: Raghav Rao
• 金额: $ 45.48万
• 依托单位: SUNY at Buffalo
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-15 至 2014-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0916612&HistoricalAwards=false
• 关键词: TC; Small; Online; Privacy; Senior

This projects investigates the external and internal factors (e.g., demographic, personal, and psychological aspects) that impact senior citizens' online privacy behavior. The multi-perspective approach to address this question consists of surveys (standardized), intensive in-person interviews, focus groups, key stroke logging and log analysis and scenario based questionnaires to understand online privacy behavior and attitude. A computational framework for online privacy protection using Bayesian Networks will be developed that includes a privacy architecture incorporating security policies, enforceable measures and a set of recommendations for proper design of privacy-enhancing technologies. This research will also explore senior citizens' perceived value of their personal information and the impact of cyber security education on online privacy behavior.Since there is limited empirical data and research about senior citizens and online privacy, this project has the potential to significantly contribute to the design of more usable and unbiased online privacy protection technology for elderly users of the Internet. Ultimately, the wider societal importance of the proposed research is that a deeper understanding of the interaction between personal, social and institutional factors in determining senior citizens' experience with online privacy is needed to facilitate the continuing effort in enhancing online privacy assurance on the Internet.

该项目调查影响老年人在线隐私行为的外部和内部因素（例如人口、个人和心理方面）。 解决这个问题的多视角方法包括调查（标准化）、密集的面对面访谈、焦点小组、击键记录和日志分析以及基于场景的调查问卷，以了解在线隐私行为和态度。 将开发使用贝叶斯网络的在线隐私保护计算框架，其中包括包含安全策略、可执行措施和一组正确设计隐私增强技术的建议的隐私架构。本研究还将探讨老年人对其个人信息的感知价值以及网络安全教育对在线隐私行为的影响。由于有关老年人和网络隐私的实证数据和研究有限，因此该项目有可能为为互联网老年用户设计更可用和公正的在线隐私保护技术做出重大贡献。最终，拟议研究的更广泛的社会重要性在于，需要更深入地了解个人、社会和制度因素在决定老年人在线隐私体验方面的相互作用，以促进持续努力加强互联网上的在线隐私保障。