GCR: Emotionally Responsive Computation and Communication

这个不断增长的融合研究项目的目标是开发情感响应型计算系统，该系统可以检测人类的情绪，并自动部署资源或确定服务的优先顺序，以满足灾难或危机情况下的人类需求。这项研究的动机是需要更快地评估危机事件期间发生的海量数据流，以更好地应对情况。通过计算机和计算科学、神经技术和心理科学的融合，该项目将开发能够监控人类情绪并处理情绪状态的技术，以战略性地部署资源来满足人类的需求。这项探索性研究将a)开发和验证受控虚拟现实模拟中对人类行为的计算评估；b)开发针对皮肤电活动、心率、脑电和瞳孔测量的集成生理测量包；c)评估适应情绪状态的系统是否必须针对个人或群体类型进行培训。主要研究问题集中在了解情绪能够和应该被感知的时间尺度，以应对环境变化以及人类情绪反应和群体动力的多样性。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

The objective of this Growing Convergence Research project is to develop emotionally-responsive computing systems that can detect human emotions and automatically deploy resources or prioritize services to meet human needs in disaster or crises situations. This research is motivated by the need to more rapidly assess the massive data flows that occur during crisis events to better respond to the situations. Through the convergence of computer and computational sciences, neurotechnology, and psychological sciences, this project will develop technologies that can monitor humans' emotions and process the emotional states to strategically deploy resources to address human needs. Emotionally-responsive computing systems could be used by 911 call-centers to prioritize calls or by first-responders responding to a public threat.This exploratory research will a) develop and validate computational assessments of human behavior in controlled virtual reality simulation, b) develop an integrated physiological measurement package targeting electrodermal activity, heart rate, electroencephalography, and pupillometry, and c) assess whether systems that adapt to emotional states must be trained toward the individual or group types. Key research questions focus on understanding the timescale at which emotions can and should be sensed in reaction to situational changes and the diversity of human emotional responses and group dynamics.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.