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.

大学田径运动是美国高等教育机构的有组织的体育项目和比赛。大学体育部门通常通过收集学生运动员的生物识别数据（例如，心率，消耗氧）的可穿戴设备来采用各种技术来跟踪运动表现。尽管有可能增强训练并减少伤害，但这些表现跟踪技术从学生运动员那里收集了可能侵犯其隐私的各种个人数据。该项目研究了与这些技术在大学田径运动中相关的复杂数据隐私问题，并制定了在不损害学生运动员数据隐私的情况下利用这些技术的策略。该项目将上下文完整性的隐私框架应用于上下文，以全面分析有关大学田径绩效跟踪技术的上下文数据隐私问题。具体而言，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的现有研究，以创建一致的多学科分类法，以围绕性能跟踪技术进行分析的数据隐私。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性数据实践，并表达采用这些技术的公用事业私人关系权衡。最后，该团队与机构的体育部门合作，制定了以研究驱动的隐私策略来采用绩效跟踪技术。该项目结果扩大了上下文完整性的隐私框架在大学田径背景下的应用，并通过最大程度地减少潜在的隐私危害来改善学生运动员的整体福祉。该奖项反映了NSF的法定任务，并被认为是通过基金会的知识分子优点和更广泛的审查标准来通过评估来通过评估来获得的支持。