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

该项目使基础设施能够捕获语音、运动、表情和凝视，支持协作和人机交互(HCI)方面的研究。计算机支持的协同工作(CSCW)目前的兴趣包括了解人们如何跨多个任务与多个合作伙伴协作，设计智能地打断用户的系统，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会行为的工具。这项工作有助于观察和分析人类行为的细微细节，使用数据来理解人类合作，特别是共同定位和远程CSCW中的面对面交互机制。关注人类行为的细节，包括面部表情、身体位置、手势和动作，是这些项目的共同之处，其动机是这样一种信念，即深入分析行为对于推动CSWC的研究和发展是必要的。CSWS对于理解面对面交互的机制、确定面对面交互中对提供远程协作最重要的方面以及对智能协作系统进行编程都是必要的。多媒体实验室用于研究计算机协调的协作行为的基础设施包括以下四个要素：-运动捕获系统、移动眼球跟踪、-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。例如：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执行。这项研究应该有助于更好地理解人际互动的基本维度，包括群体行为的动态、可插入性和意识，以及凝视、手势、言语和行动之间的相互关系。人机界面、计算机支持的协同工作、通信理论、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：公众有望从创造新的工具中受益，以加强在医疗和安全等领域的合作。此外，该基础设施还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.