NeTS-NBD: Collaborative Research: Human-Centered Networking for the Home

NeTS-NBD：合作研究：以人为本的家庭网络

• 批准号: 0625802
• 负责人: Kenneth Calvert
• 金额: $ 18.66万
• 依托单位: University of Kentucky Research Foundation
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-01 至 2010-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0625802&HistoricalAwards=false
• 关键词: NeTS; NBD; Collaborative; Research; Human

This project focuses on lowering the barrier to the adoption and use of home networking by designing human-centered technologies that support end-users in their networking tasks. Specifically, this project will combine Networking and Human-Computer Interaction research to develop and evaluate a new networking architecture for the home, as well as tools built upon this architecture. The overall goals of the work are to (i) understand the sources of complexity and user frustration in home networks, (ii) extract core architectural principles that promote simple, usable, robust, and secure networks in environments that share the unique characteristics of the home, and (iii) develop and evaluate architectures and tools that embody those principles. The design and development of a network architecture that addresses the deep usability problems of home networking will make it possible for end-users to provision, configure, and manage their networks, and facilitate the adoption of applications that require sophisticated network infrastructures. Broader Impact: The results of this work will be integrated into coursework, research projects, and degree programs at the two collaborating universities, and will influence the training of both Networking and HCI researchers and professionals.

该项目的重点是通过设计以人为本的技术来支持最终用户的网络任务，从而降低采用和使用家庭网络的障碍。 具体来说，这个项目将结合联合收割机网络和人机交互研究，开发和评估一个新的家庭网络架构，以及建立在这个架构上的工具。工作的总体目标是（一）了解家庭网络的复杂性和用户挫折的来源，（二）提取核心架构原则，促进简单，可用，强大，安全的网络环境中，共享家庭的独特特征，和（iii）开发和评估体现这些原则的架构和工具。 设计和开发一种解决家庭网络深层可用性问题的网络体系结构，将使最终用户能够提供、配置和管理他们的网络，并促进需要复杂网络基础设施的应用程序的采用。 更广泛的影响：这项工作的结果将被整合到两所合作大学的课程，研究项目和学位课程中，并将影响网络和HCI研究人员和专业人员的培训。