II-New: Laboratory for Studying Next Generation Computer-Mediated Teamwork

该项目的目标是为康奈尔大学的研究人员提供设备，跟踪人们在使用通信和协作工具时的生理反应，眼睛注视和身体运动。 这种设备可以帮助研究人员更好地了解这些工具的使用如何影响人们的压力水平和任务表现，并将导致未来工具的设计，帮助人们更有效地工作。拟议的基础设施将加强康奈尔和其他地点的教育。 康奈尔大学的教授将能够将这些设备整合到他们的课堂上，创造新颖而引人入胜的学习体验，学生将能够使用这些设备在课堂项目中探索自己的想法。 该基础设施还将被用作旨在增加STEM学科多样性的推广活动的一部分，包括针对初中和高中女生的两个项目。使用该设备的研究结果将帮助企业和组织做出明智的决定，了解哪些通信和协作工具将最好地支持他们的使命。 研究结果还将产生新的工具，个人可以用来管理自己的压力水平和最大限度地提高他们的表现。该项目将开发一个实验室，研究下一代计算机介导和计算机增强的团队合作和小组互动，使研究人员能够捕捉技术，个人认知和情感状态，以及团队动态之间的复杂关系。 该基础设施将支持康奈尔大学教师和学生在人机交互、计算机介导的通信、计算机支持的合作工作、虚拟和增强现实、社交计算和人机交互等领域开展的广泛的前瞻性研究活动。 该基础设施将支持对人类反应的细粒度测量（例如，心率、眼睛注视、身体运动），以及开发和评估利用这些细粒度测量的新的社会计算工具，如“及时”干预。 它将允许研究人员提出新的研究问题，这些问题只能通过捕捉技术，个人认知和情感状态以及团队动态之间的复杂相互关系来回答。研究人员还将能够设计和测试新型计算工具，这些工具利用基础设施提供的心理生理，凝视和身体位置数据。

The goal of this project is to provide Cornell researchers with equipment that tracks people's physiological responses, eye gaze and body movements as they use communication and collaboration tools. This equipment can help researchers better understand how the use of these tools affects people's stress levels and task performance and will lead to the design of future tools that help people work more effectively. The proposed infrastructure will enhance education at Cornell and other locations. Cornell professors will be able to integrate the equipment into their classes to create novel and engaging learning experiences, and students will be able to use the equipment to explore their own ideas in class projects. The infrastructure will also be used as part of outreach activities aimed at increasing diversity in STEM disciplines, including two programs for junior and senior high school girls. The results of studies using this equipment will help businesses and organizations make informed decisions about what communication and collaboration tools will best support their mission. The results will also lead to new tools that individuals can use to manage their own stress levels and maximize their performance.This project will develop a laboratory for research on next generation computer-mediated and computer-enhanced teamwork and group interaction that will allow investigators to capture complex relationships among technology, individual cognitive and affective states, and team dynamics. The infrastructure will support a broad range of forward-looking research activities by Cornell faculty and students working in areas such as human computer interaction, computer-mediated communication, computer-supported cooperative work, virtual and augmented reality, social computing, and human-robot interaction. The infrastructure will support both the fine-grained measurement of human responses (e.g., heart rate, eye gaze, body movement) and the development and evaluation of new social computing tools that draw on these fine grained measures, such as 'just in time' interventions. It will allow investigators to ask new research questions that can only be answered by capturing complex interrelationships among technology, individual cognitive and affective states, and team dynamics. Investigators will also be able to design and test new types of computational tools that draw on the psychophysiological, gaze and body position data provided by the infrastructure.