Ong Anthony D, Zautra Alex J, Finan Patrick H
Department of Human Development, Cornell University.
Division of Geriatrics and Palliative Medicine, Weill Cornell Medical College.
Curr Opin Behav Sci. 2017 Jun;15:22-26. doi: 10.1016/j.cobeha.2017.05.018. Epub 2017 May 27.
The degree of relationship between positive and negative emotional states or is a topic of ongoing methodological and theoretical debate. At issue is whether positive and negative emotions are opposite ends of a bipolar continuum or independent dimensions in a bivariate distribution with little degree of overlap. In this review, we summarize a body of work suggesting that the distinction between positive and negative emotions varies both between and within individuals over time as a function of cognition and changes in informational demands, a perspective called the Dynamic Model of Affect (DMA). In addition to providing a unifying theoretical model that specifies the conditions under which both bivariate and bipolar models of affect may be valid, the DMA offers an integrative, multidimensional affective framework through which models of resilience and stress adaptation may be articulated. Future work should continue to explore the contextual factors, especially those that have relevance for the complexity of information processing, as potential moderators of the dynamic interplay between positive and negative emotions.
积极情绪状态与消极情绪状态之间的关联程度是一个在方法论和理论上仍在持续争论的话题。争论的焦点在于,积极情绪和消极情绪是双极连续体的两端,还是双变量分布中几乎没有重叠程度的独立维度。在这篇综述中,我们总结了一系列研究成果,这些研究表明,积极情绪和消极情绪之间的区别会随着时间推移,在个体之间以及个体内部发生变化,这是认知以及信息需求变化的函数,这一观点被称为情感动态模型(DMA)。除了提供一个统一的理论模型,明确情感的双变量模型和双极模型可能有效的条件外,情感动态模型还提供了一个综合的、多维的情感框架,通过这个框架可以阐述复原力和压力适应模型。未来的研究应该继续探索情境因素,尤其是那些与信息处理复杂性相关的因素,将其作为积极情绪和消极情绪之间动态相互作用的潜在调节因素。