MRI: Development of a Cross-Platform Infrastructure for Natural Interaction Research

MRI：开发用于自然交互研究的跨平台基础设施

• 批准号: 1126570
• 负责人: Jun Kong
• 金额: $ 30万
• 依托单位: North Dakota State University Fargo
• 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: 2011-09-15 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1126570&HistoricalAwards=false
• 关键词: MRI; Development; Cross; Platform; Infrastructure

Proposal #: 11-26570PI(s): Kong, Jun Cook, John R.; Shi, Jing; Yu, NanInstitution: North Dakota State UniversityTitle: MRI/Dev. : A Cross-Platform Infrastructure for Natural Interaction ResearchProject Proposed:This project from an EPSCoR state, aiming to develop a cross-platform infrastructure that supports natural interaction research by providing automatic modality adaptation, radically alters the paradigm for human/computer interaction (HCI). Distinct from previous approaches, the proposed approach quantifies the usability of each modality and then formalizes the adaptation issue as searching for a set of input/output modalities that produce the highest usability, i.e., an optimization issue. In addition to the interaction context, our approach also considers the effects of computing infrastructures (e.g., system resources and networking) on the modality adaptation. The proposed work establishes the first Natural Interaction Laboratory in North Dakota, enabling the following research projects in Adaptive Natural Interaction:- Establishing common interaction context across multiple scenarios,- Device-aware establishment of modality space,- Device-aware establishment of usability space, and- Quality of service in the human/computer interaction context.The work aims to develop a unifying infrastructure for research by providing a common programming interface across multiple devices. Broader Impacts: This instrumentation should provide a unique research facility for faculty and graduate students to conduct research on user interaction-enhancing technology and education. The proposal enhances PhD production in an EPSCoR state, encourages underrepresented students into research via the NATURE (Nurturing American Tribal Undergraduate Research and Educations) and WISMET (Women in Science, Math, Engineering, and Technology) programs, provides research opportunities to undergraduate students, and impacts industry and economic development in North Dakota.

提案编号：11- 26570 PI：Kong、Jun Cook、John R.; Shi，Jing; Yu，NanInstitution：北达科他州State University职称： MRI/开发自然交互研究的跨平台基础设施项目建议：该项目来自EPSCoR状态，旨在开发一个跨平台基础设施，通过提供自动模态适应来支持自然交互研究，从根本上改变了人机交互（HCI）的范式。与以前的方法不同，所提出的方法量化了每个模态的可用性，然后将适应问题形式化为搜索一组产生最高可用性的输入/输出模态，即，优化问题。除了交互上下文之外，我们的方法还考虑了计算基础设施的影响（例如，系统资源和联网）。拟议的工作建立了第一个自然交互实验室在北达科他州，使以下研究项目在自适应自然交互：-建立跨多个场景的公共交互上下文，-设备感知的模态空间的建立，-设备感知的可用性空间的建立，和-在人机交互上下文中的服务质量。更广泛的影响：这种仪器应该为教师和研究生提供一个独特的研究设施，进行用户交互增强技术和教育的研究。该提案提高了EPSCoR州的博士生产量，鼓励代表性不足的学生通过自然（培育美国部落本科生研究和教育）和WISMET（科学，数学，工程和技术领域的女性）计划进行研究，为本科生提供研究机会，并影响北达科他州的工业和经济发展。