CRI: Multimedia Laboratory for Research on Computer-Mediated Collaborative Behavior

该项目使基础设施能够捕获语音，动作，表情和凝视，支持协作和人机交互（HCI）的研究。计算机支持的协同工作（CSCW）目前的兴趣包括了解人们如何与多个合作伙伴在多个任务中协作，设计智能打断用户的系统，支持远程协作中的手势和其他类型的非语言行为，以及创建可以解释会议和其他社交行为的工具。这项工作有助于观察和分析人类行为的细节，使用数据来理解人类协作，特别是在协同定位和远程CSCW中面对面交互的机制。关注人类行为的细节，包括面部表情，身体姿势，手势和动作，是这些项目的共同点，其动机是相信深入分析行为是必要的，以将CSWC的研究和开发推向未来。CSWS对于理解面对面交互的机制、识别面对面交互中对提供远程协作最重要的那些方面以及编程智能协作系统是必要的。多媒体实验室的基础设施包括以下四个要素：-动作捕捉系统，移动的眼球跟踪，-多通道视频和音频记录。这些组件，单独使用或组合使用，有助于研究人类行为的广泛主题。示例包括：医疗环境中的大规模协作、可中断性、远程手势通信工具和多任务性能。使能的研究应该导致更好地理解人际互动的基本维度，包括群体行为的动态，可中断性和意识，以及凝视，手势，言语和行动之间的相互关系。人机交互、计算机支持的协同工作、沟通理论、社会心理学和组织行为学可能会从这项工作中受益。更广泛的影响：公众预计将受益于创建新的工具，以加强在医学和安全等领域的合作。此外，基础设施有助于培训学生和加强相关领域的教育。

This project, enabling infrastructure to capture speech, motion, expressions, and gaze, supports research in collaboration and Human Computer Interaction (HCI). Current interests in Computer Supported Cooperative Work (CSCW) include understanding how people collaborate across multiple tasks with multiple partners, designing systems that interrupt users intelligently, supporting gestures and other types of nonverbal behavior in remote collaborations, and creating tools that can interpret meetings and other social behavior. The work contributes to the observation and analysis of fine details of human behavior, uses data for understanding human collaboration, especially the mechanics of face-to-face interaction in co-located and remote CSCW. A focus of fine details of human behavior, including facial expressions, body positions, gestures, and movements, is common to these projects, motivated by the belief that in depth analysis of behavior is necessary to move CSWC research and development into the future. CSWS is necessary for understanding the mechanics of face-to-face interaction, for identifying those aspects of face-to-face interaction that are most important to provide remote collaboration, and for programming intelligent collaborative systems. The infrastructure for a multimedia laboratory for research on computer-mediated collaborative behavior consists of the following four elements:-Motion capture system, Mobile eye-tracking,-Multichannel video and audio recording.The components, used independently or in combination, contribute to investigate a wide range of topics in human behavior. Examples include: large-scale collaboration in medical setting, interruptibility, tools for remote gestural communication, and multiple task performance. The enabled research should lead to an improved understanding of fundamental dimensions of interpersonal interaction, including the dynamics of group behavior, interruptibility and awareness, and interrelationships among gaze, gesture, speech, and actions. HCI, computer supported cooperative work, communication theory, social psychology, and organizational behavior might benefit from this work.Broader Impact: The general public is expected to benefit by the creation of new tools to enhance collaboration in fields such as medicine and security. Additionally, the infrastructure contributes in the training of students and enhancing education in pertinent areas.