CISE Research Instrumentation: Augmenting the Capture and Understanding of Everyday Experiences

9818305Abowd，Gregory D.Atkeon，Christopher佐治亚理工学院增强对日常经验的捕获和理解该研究工具支持以下研究项目：-普适计算：捕获、集成和访问问题，-捕获体验的自动理解，-软件体系结构原理的自动捕获，以及-未来的指挥所。为了支持上述项目，该奖项为佐治亚理工学院计算学院配备了一间教室和一间会议室，提供嵌入式捕获工作面。教室将有座椅，包含电力和网络分配，配备笔式注释表面；会议室将包含大型电子白板表面，包括竖直和水平，提供小组级别的互动。讲解系统由Mutoh公司的高分辨率视频平板电脑组成，由连接到学生/会议桌上的PC/104+嵌入式计算机驱动。该项目为基于笔的交互式计算设备提供基础设施，该设备致力于在捕获和检索日常经验方面支持计算机和信息科学和工程方面的研究。研究项目分别包括：增加大学讲座的捕获，包括学生笔记和协作，其中讲座经验被保留并提供给以后审查；捕获经验的自动理解，其中应用计算感知和机器学习技术来解释捕获的不同领域中活动背后的语义；自动捕获软件体系结构的基本原理，其中交互式白板为创建和捕获关于复杂软件系统的高层组织的软件设计讨论提供了更自然的界面；以及战略会议室工具，其中集成的大格式交互表面允许捕获和传播非正式和战略性的信息。

9818305Abowd, Gregory D.Atkeson, ChristopherGeorgia Institute of TechnologyAugmenting the Capture and Understanding of Everyday ExperiencesThis research instrumentation enables research projects in:- Ubiquitous Computing: The Capture, Integration, and Access Problem,- Automated Understanding of Captures Experience,- Automated Capture of Software Architectural Rationale, and- Command Post of the Future.To support the aforementioned projects, this award contributes to outfit a classroom and a meeting room, providing embedded capture work surfaces, at the College of Computing in Georgia Institute of Technology. The classroom will have seats, containing power and network distribution, equipped with a pen-based annotation surface; the meeting room will contain large electronic whiteboard surfaces, both upright and horizontal, providing group-level interaction. The annotation system consist of a high-resolution video tablet from Mutoh, driven by a PC/104+ embedded computer attached to the student/meeting table. This project provides infrastructure for interactive pen-based computing equipment which is dedicated to support research in computer and information science and engineering in the area of capture and retrieval of everyday experiences. The research projects respectively include: augmenting the capture of university lectures toinclude student note-taking and collaboration, in which lecture experiences are preserved and made available for later review; automated understanding of capture experiences, in which computational perception and machine learning techniques are applied to interpret the semantics behind captured activities in different domains; automated capture of software architectural rationale, in which an interactive whiteboard provides a more natural surface for creating and capturing software design discussion about the high-level organization of complex software systems; and strategic meeting room tools, in which integrated large format interactive surfaces allow for the capture and dissemination of informal and strategic information.