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情绪感知和生理建模方法PI：Sy-Miin Chow，北卡罗来纳大学(牵头)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情绪作为动态过程的新概念。这一新的范式创造了令人兴奋的研究场所，以扩展我们对情绪感知和生理的理解。显然，鉴于情感的体验和测量两个方面的复杂性，这样的场所只能通过跨学科合作来实现。该项目汇集了心理计量学、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，目的是利用这些数据(1)开发具有时变参数和随机效应的微分方程模型的估计和诊断方法，(2)开发由面部肌电(EMG)数据指示的情绪动态分析方法，(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部转换，以及(4)开发和组织用于研究复杂的、非平稳过程的工具，并将这些工具跨多个学科传播给受众。除了引入新的方法来测试现有的情绪理论外，这个项目还为方法学家提供了新的机会来改进和开发研究动态系统的新技术。除了情绪，这个项目中开发的工具还可以用来检查其他动态过程，如寿命发育、疾病传播以及社会网络的出现和解体。

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.