SGER: Designing and developing mobile computing infrastructures and architectures to support people with cognitive disabilities and caregivers in authentic everyday tasks
SGER: Designing and developing mobile computing infrastructures and architectures to support people with cognitive disabilities and caregivers in authentic everyday tasks
批准号:
0456053
负责人:
Gerhard Fischer
金额:
$0.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2004
资助国家:
美国
项目状态:
已结题
起止时间:
2004-11-15 至 2006-10-31
中文摘要
作为博尔德科罗拉多大学终身学习与设计中心的认知杠杆(CLever)研究小组的成员,PI和他的同事们建议,一个合适的移动架构可以支持认知障碍患者的日常生活活动。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、无处不在的计算环境和平台的差距。PI指出,最近推出的新一代移动手持设备结合了Wi-Fi和广域蜂窝数据技术,为构建和评估原型组件提供了一个具有潜在成本效益的平台。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架构,从“瘦客户端”架构到点对点网络。他们将在执行真实任务的同时从真实世界的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;商用手持设备的足够技术;以及整体的建筑设计。PI期望项目成果将使他能够为该领域新技术的使用开发基础理论和有效架构。更广泛的影响:这项研究的目标社区传统上没有得到社会的充分服务。在执行现实世界任务的同时,利用实验室原型组件(MfA、MAPS、LifeLine)对商用现成品(COTS)移动技术进行探索性的“压力测试”,以了解当前的能力、限制和技术需求,促进在设计健壮的移动社会技术环境方面的快速创新进展,从而有效地支持认知障碍患者及其护理人员进行真实的日常生活活动。
英文摘要
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.
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