SGER: Designing and developing mobile computing infrastructures and architectures to support people with cognitive disabilities and caregivers in authentic everyday tasks

PI和他的同事们，作为位于博尔德的科罗拉多大学终身学习和设计中心内的认知杠杆（CLever）研究小组的成员，提出了一个合适的移动的架构可以支持认知障碍者的日常生活活动。 PI认为，为了设计具有成本效益的智能技术来连接护理人员和目标社区的成员，我们必须利用现有的手持和数据网络技术，并确定必要的关键技术，以补充和解决当前移动的，无处不在的计算环境和平台的差距。 PI指出，最近商业上引入的新一代移动的手持设备结合了联合收割机Wi-Fi和广域蜂窝数据技术，提供了一个潜在的具有成本效益的平台，在此基础上构建和评估原型组件。 在这个探索性的项目中，PI和他的团队将调查他们的想法的可行性。 他们将设计基于分布式智能理论的移动的架构，从“瘦客户端”架构到对等网络。 他们将在执行真实任务时从真实系统中获取性能数据，从而获得特定的内容规范。 他们将调查目标技术在以下方面的局限性：基站和移动的站之间的连接、数据可访问性和吞吐量;位置感知;商用手持设备的技术充分性;以及总体架构设计。 PI期望项目成果将使他能够为该领域的新技术的使用开发基础理论和有效的架构。更广泛的影响：本研究的目标社区传统上未得到社会的充分服务。 这一探索性的“压力测试”的商业现货（COTS）移动的技术与实验室原型组件（MfA，MAPS，LifeLine）在执行现实任务时，为了了解当前的能力，限制和技术要求，应该在设计鲁棒，移动的社会技术环境，以有效地支持认知障碍者及其照顾者进行真实的日常生活活动。

The PI and his colleagues, as members of the Cognitive Levers (CLever) research team within the Center for Lifelong Learning and Design at the University of Colorado at Boulder, have suggested that a suitable mobile architecture could support activities for daily living for people with cognitive disabilities. The PI argues that in order to design cost-effective, intelligent technologies to connect caregivers and members of the target community, we must leverage existing handheld and data network technologies and identify critical technologies necessary to complement and address gaps in current mobile, ubiquitous computing environments and platforms. The PI notes that the recent commercial introduction of a new generation of mobile handheld devices that combine Wi-Fi and wide-area cellular data technology provides a potentially cost-effective platform upon which to build and evaluate prototype components. In this exploratory project, the PI and his team will investigate the feasibility of their ideas. They will design mobile architectures based on theories of distributed intelligence ranging from "thin client" architectures to peer-to-peer networks. They will obtain performance data from real-world systems while carrying out authentic tasks, thereby obtaining specific content specifications. They will investigate the limits of the targeted technologies with respect to: connectivity between base and mobile stations, data accessibility, and throughput; location-awareness; technical sufficiency of commercial handheld devices; and overall architecture design. The PI expects that project outcomes will enable him to develop grounded theories and effective architectures for the use of new technologies in this field.Broader Impacts: The target community for this research has traditionally been under-served by society. This exploratory "stress test" of commercial off-the-shelf (COTS) mobile technologies with laboratory prototype components (MfA, MAPS, LifeLine), while performing real-world tasks, in order to understand current capabilities, constraints, and technical requirements, should catalyze rapid and innovative advances in the design of a robust, mobile socio-technical environment to effectively support people with cognitive disabilities and their caregivers in authentic everyday living activities.