MRI: RUI: Acquisition of Eye Tracking Equipment to Support Research at UAA

MRI：RUI：采购眼球追踪设备以支持 UAA 的研究

• 批准号: 1126896
• 负责人: Bogdan Hoanca
• 金额: $ 12.62万
• 依托单位: University of Alaska Anchorage Campus
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2014-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1126896&HistoricalAwards=false
• 关键词: MRI; RUI; Acquisition; Eye; Tracking

Proposal #: 11-26896 PI(s): Hoanca, Bogdan; Mock, Kenrick Institution: University of Alaska at AnchorageTitle: MRI: RUI: Acquisition of Eye Tracking Equipment to Support Research at UAAProject Proposed:This project, acquiring two eye tracking systems, (along with wireless sensors for creating a biometric profile for a computer user), enables new and innovative research directions in user authentication, assistive software for teaching mathematics, context aware document retrieval, and student attentiveness. These new, state-of-the-art eye trackers will replace two lower quality eye trackers, freeing one up for student use. The eye trackers will be located in a controlled-access, public use laboratory available to several researchers at the University of Alaska at Anchorage. The enhanced capabilities of the new eye trackers will permit greater range of motion for more natural user interaction and higher accuracy for better biometrics. Consequently, the work will permit transformational research into more natural and transparent user authentication and computer security based on a comprehensive set of biomarkers, assistive research into mathematical learning techniques for persons with disabilities, enhanced, biomarker-based intelligent search and document categorization through online user profiling, and enhanced assessment of learning efficacy. Aside from brain activity, eye patterns are one of the most direct windows into a person?s understanding and mental activity. Broader Impacts:The broader impacts include the involvement of 4-6 undergraduate students per year in eye tracking research by the co-PIs, with possibly another 4-6 undergraduates per year from other faculty. Four broader impacts are apparent. First, if widely deployed, the proposed authentication scheme has the potential to thwart phishing attacks, and even man in the middle attacks, for e-commerce users. Second, advanced assistive technology for mathematics will allow physically disabled people to perform math manipulations on par with able-bodied people. Third, by tracking what a user actually reads, user profiling will result in better, faster searches for relevant information automatically. Finally, high quality eye tracking should provide the UAA faculty with insight into the direct connections between learning and eye patterns

提案编号：11-26896 PI(s)：Hoanca、Bogdan； Mock, Kenrick 机构：阿拉斯加大学安克雷奇分校 标题：MRI：RUI：采购眼动追踪设备以支持 UAA 项目建议：该项目采购两个眼动追踪系统（以及用于为计算机用户创建生物识别档案的无线传感器） ），在用户身份验证、数学教学辅助软件、上下文感知文档检索和学生注意力方面实现了新的创新研究方向。这些新型、最先进的眼动仪将取代两台质量较低的眼动仪，从而腾出一台供学生使用。眼动仪将安装在一个受控访问的公共实验室中，供阿拉斯加大学安克雷奇分校的几名研究人员使用。新型眼动仪的增强功能将允许更大的运动范围，从而实现更自然的用户交互，并实现更高的准确度，从而实现更好的生物识别。因此，这项工作将允许基于一套全面的生物标记对更自然和透明的用户身份验证和计算机安全进行转型研究，对残疾人数学学习技术的辅助研究，通过在线用户增强的基于生物标记的智能搜索和文档分类分析，并加强对学习效率的评估。除了大脑活动之外，眼睛模式是了解一个人的理解和心理活动的最直接的窗口之一。更广泛的影响：更广泛的影响包括每年有 4-6 名本科生参与联合 PI 的眼动追踪研究，每年可能还有 4-6 名来自其他教师的本科生参与。四个更广泛的影响是显而易见的。首先，如果广泛部署，所提出的身份验证方案有可能阻止电子商务用户的网络钓鱼攻击，甚至中间人攻击。其次，先进的数学辅助技术将使身体残疾的人能够像身体健全的人一样进行数学运算。第三，通过跟踪用户实际阅读的内容，用户分析将自动更好、更快地搜索相关信息。最后，高质量的眼动追踪应该能让 UAA 教师深入了解学习与眼动模式之间的直接联系