DHB Collaborative Research: Developing Non-Stationary and Network-based Methods for Modeling the Perception and Physiology of Emotion

DHB合作研究：开发非静态和基于网络的方法来建模的感知和生理的情感PI：Sy-Miin周，北卡罗来纳州大学（领导）合作机构：加州大学戴维斯分校动态系统建模的最新发展导致了新的概念化的情绪作为动态过程。这种新的范式创造了令人兴奋的研究场所，以扩展我们对情感的感知和生理学的理解。很明显，鉴于情绪的体验和测量方面的复杂性，只有通过跨学科合作才能实现这一目标。该项目汇集了心理测量学，情绪/心理生理学，统计学，生物信息学/生物统计学和金融计量经济学领域的研究人员，以开发研究情绪和情感过程动态的技术。将在不同的时间尺度上收集多种情绪测量，目的是使用这些数据来（1）开发用于估计和诊断具有时变参数和随机效应的微分方程模型的方法，（2）开发用于分析面部肌电图（EMG）数据所指示的情绪动态的方法，（3）使用基于网络的方法来表示离散情感状态之间的个体内过渡;（4）开发和组织用于研究复杂的非静态过程的工具，并将这些工具传播给各个学科的受众。除了引入新的方法来测试现有的情绪理论，该项目还为方法学家提供了新的机会，以完善和开发研究动态系统的新技术。除了情绪，本项目开发的工具还可用于研究其他动态过程，如寿命发展、疾病传播以及社交网络的出现和分解。

DHB Collaborative Research: Developing Non-Stationary and Network-based Methods for Modeling the Perception and Physiology of EmotionPI: Sy-Miin Chow, University of North Carolina (lead)Collaborating institution: UC DavisRecent developments in dynamic systems modeling have led to new conceptualizations of emotions as dynamic processes. This new paradigm has created exciting research venues to extend our understanding of the perception and physiology of emotions. It is clear that, given the complexity of both the experiential and measurement aspects of emotions, such venues can only be pursued through interdisciplinary collaborations. This project brings together researchers in the fields of psychometrics, emotion/psychophysiology, statistics, bioinformatics/biostatistics and financial econometrics to develop techniques for studying the dynamics of emotions and affective processes. Multiple measures of emotions will be collected over different time scales, with the aims of using these data to (1) develop methods for estimating and diagnosing differential equation models with time-varying parameters and random effects, (2) develop methods for analyzing the dynamics of emotions as indicated by facial electromyography (EMG) data, (3) use network-based methods to represent within-individual transitions among discrete affective states and (4) develop and organize tools for studying complex, non-stationary processes and disseminate these tools to audiences across a variety of disciplines. In addition to introducing novel methodologies for testing existing theories of emotions, this project also provides new opportunities for methodologists to refine and develop new techniques for studying dynamic systems. Beyond emotions, the tools developed in this project can be used to examine other dynamic processes such as lifespan development, disease propagation, and the emergence and disaggregation of social networks.