CRII: SaTC: A Contextual Integrity Approach for Privacy Reasoning Regarding Performance Tracking Technologies in US College Athletics

CRII：SaTC：美国大学体育运动成绩跟踪技术隐私推理的上下文完整性方法

• 批准号: 2348294
• 负责人: Yuanyuan Feng
• 金额: $ 17.5万
• 依托单位: University of Vermont & State Agricultural College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-04-15 至 2026-03-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2348294&HistoricalAwards=false
• 关键词: CRII; SaTC; Contextual; Integrity; Approach

College athletics are organized athletic programs and competitions in higher education institutions across the United States. College athletic departments have increasingly adopted various technologies to track sports performance, often through wearable devices that collect student athletes’ biometric data (e.g., heart rate, oxygen consumption). Despite the potential to enhance training and reduce injuries, these performance tracking technologies gather various personal data from student athletes that may violate their privacy. This project examines the complex data privacy issues associated with these technologies in college athletics and develops strategies to leverage these technologies without compromising student athletes’ data privacy.This project applies the privacy framework of contextual integrity to comprehensively analyze contextual data privacy issues regarding using performance tracking technologies in college athletics. Specifically, the research team draws on existing research in computing, bioethics, laws, sports medicine, and health informatics to create a consistent multidisciplinary taxonomy for analyzing data privacy around performance tracking technologies. Then, the team conducts interview and survey research with student athletes and coaches to identify potentially privacy-intrusive data practices and to articulate the utility-privacy tradeoff of adopting these technologies. Finally, the team collaborates with the athletic department at their institution to develop research-driven privacy strategies for adopting performance tracking technologies. The project outcomes widen the application of the privacy framework of contextual integrity in the context of college athletics and improve student athletes’ overall well-being by minimizing potential privacy harms.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

大学体育是在美国高等教育机构中组织的体育项目和比赛。大学体育系越来越多地采用各种技术来跟踪运动成绩，通常是通过收集学生运动员生物特征数据的可穿戴设备（例如，心率、耗氧量）。尽管这些性能跟踪技术有可能增强训练并减少受伤，但它们会收集学生运动员的各种个人数据，这些数据可能会侵犯他们的隐私。本研究旨在探讨大学体育运动中与这些技术相关的复杂的数据隐私问题，并制定策略来利用这些技术而不损害学生运动员的数据隐私。本研究应用上下文完整性的隐私框架来全面分析大学体育运动中使用性能跟踪技术的上下文数据隐私问题。具体来说，研究团队借鉴了计算、生物伦理学、法律、运动医学和健康信息学方面的现有研究，创建了一个一致的多学科分类法，用于分析性能跟踪技术周围的数据隐私。然后，该团队对学生运动员和教练进行访谈和调查研究，以确定潜在的隐私侵入数据做法，并阐明采用这些技术的实用性-隐私权衡。最后，该团队与他们所在机构的体育部门合作，开发研究驱动的隐私策略，以采用性能跟踪技术。该项目的成果拓宽了情境完整性隐私框架在大学体育运动中的应用，并通过最大限度地减少潜在的隐私伤害来改善学生运动员的整体福祉。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。