Modeling of emotion elicitation conditions for a cognitive-emotive architecture

To cater to the need of embodying emotional behavior in an autonomous agent, there is a need for modeling computationally apt definitions of emotions. A number of emotion theories have been developed that provide an understanding of human psychology and their emotional behaviors, but it is difficult to directly decipher a theory into a computational model of emotion. Nevertheless, these theories together can serve as the theoretical foundation for designing a model for emotion-eliciting conditions. In this study, the salient features of OCC, Scherer, and Roseman theories of emotions are identified, which complement each other. The features are unified and standardized to bring consistency in deriving the computationally apt definition of five emotions viz. Happiness/Joy, Sadness, Fear, Anger, and Surprise. The objective of this hybridization is to set a ground framework for appraising the emotion-triggering cues (e.g., an event) for a simple, flexible and tolerant computational model of emotions. The underlying emotion-eliciting processes are designed using Fuzzy Logic. Fuzzy rules are framed to model the conditions behind emotion elicitation. Furthermore, the ISEAR data set and the real test-case scenarios are used to validate the accuracy of emotion prediction and rule fulfillment respectively.     

Understanding of emotional experience in autism: insights from the personal accounts of high-functioning children with autism

In this study, the authors investigate emotional understanding in autism through a discourse analytic framework to provide a window into children's strategies for interpreting emotional versus nonemotional encounters and consider the implications for the mechanisms underlying emotional understanding in typical development. Accounts were analyzed for thematic content and discourse structure. Whereas high-functioning children with autism were able to discuss contextually appropriate accounts of simple emotions, their strategies for interpreting all types of emotional (but not nonemotional) experiences differed from those used by typically developing children. High-functioning children with autism were less inclined to organize their emotional accounts in personalized causal-explanatory frameworks and displayed a tendency to describe visually salient elements of experiences seldom observed among comparison children. Findings suggest that children with autism possess less coherent representations of emotional experiences and use alternative strategies for interpreting emotionally evocative encounters. Discussion focuses on the significance of these findings for informing the nature of emotional dysfunction in autism as well as implications for theories of emotional understanding in typical development.     

Emotion expression in body action and posture

Emotion communication research strongly focuses on the face and voice as expressive modalities, leaving the rest of the body relatively understudied. Contrary to the early assumption that body movement only indicates emotional intensity, recent studies have shown that body movement and posture also conveys emotion specific information. However, a deeper understanding of the underlying mechanisms is hampered by a lack of production studies informed by a theoretical framework. In this research we adopted the Body Action and Posture (BAP) coding system to examine the types and patterns of body movement that are employed by 10 professional actors to portray a set of 12 emotions. We investigated to what extent these expression patterns support explicit or implicit predictions from basic emotion theory, bidimensional theory, and componential appraisal theory. The overall results showed partial support for the different theoretical approaches. They revealed that several patterns of body movement systematically occur in portrayals of specific emotions, allowing emotion differentiation. Although a few emotions were prototypically expressed by one particular pattern, most emotions were variably expressed by multiple patterns, many of which can be explained as reflecting functional components of emotion such as modes of appraisal and action readiness. It is concluded that further work in this largely underdeveloped area should be guided by an appropriate theoretical framework to allow a more systematic design of experiments and clear hypothesis testing. (PsycINFO Database Record (c) 2012 APA, all rights reserved).     

The Neuropsychology of Depression: A Literature Review and Preliminary Model

Neuropsychological research provides a useful framework to study emotional problems, such as depression, and their correlates. This paper reviews several prominent neuropsychological theories. Functional neuroanatomical systems of emotion and depression are reviewed, including those that describe cerebral asymmetries in emotional processing. Following the review, a model that is composed of three neuroanatomical divisions (left frontal, right frontal, and right posterior) and corresponding neuropsychological emotional sequelae within each quadrant is presented. It is proposed that dysfunction in any of these quadrants could lead to symptomatology consistent with a diagnosis of depression. The proposed model combines theories of arousal, lateralization, and functional cerebral space and lends itself to scientific methods of investigation. Accordingly, research, prevention, and treatment programs in accordance with the proposed model may promote an improved understanding of the neuropsychological mechanisms involved in depression.     

Exploring the dynamics of the appraisal–emotion relationship: A constraint satisfaction model of the appraisal process

This paper presents a computational model of emotions that is based in an appraisal theoretical framework. The model explores the dynamics of the appraisal–emotion relationship using parallel constraint satisfaction. It proposes belief coherence, desire coherence and belief–desire coherence as basic principles and specifies how these principles can be realised in a parallel constraint satisfaction system. The model shows that the very same mechanisms that account for the formation of coherence or consistency are also pivotal for the emergence and alteration of emotional states and for the dynamics of the cognition–emotion relationship. Concrete simulation examples show how discrete emotions such as anger, pride, sadness, shame, surprise, relief and disappointment emerge out of these principles.     

A computational unification of cognitive behavior and emotion

Existing models that integrate emotion and cognition generally do not fully specify why cognition needs emotion and conversely why emotion needs cognition. In this paper, we present a unified computational model that combines an abstract cognitive theory of behavior control (PEACTIDM) and a detailed theory of emotion (based on an appraisal theory), integrated in a theory of cognitive architecture (Soar). The theory of cognitive control specifies a set of required computational functions and their abstract inputs and outputs, while the appraisal theory specifies in more detail the nature of these inputs and outputs and an ontology for their representation. We argue that there is a surprising functional symbiosis between these two independently motivated theories that leads to a deeper theoretical integration than has been previously obtained in other computational treatments of cognition and emotion. We use an implemented model in Soar to test the feasibility of the resulting integrated theory, and explore its implications and predictive power in several task domains.     

群体共享情绪的放大效应

相比独自经历情绪事件,在群体中与他人共享情绪事件会放大个体的情绪体验,该效应被称之为群体共享情绪的放大效应。以往研究为群体共享情绪放大效应提供了部分间接的实验证据,但以往的理论,如群体共同关注理论和情绪传染理论,并不能对该效应做出很好的解释。基于社会评估理论和共享现实理论提出的评估–证实–放大模型可较好地解释群体共享情绪的放大效应。未来研究可在真实互动的群体情境中检验群体共享情绪放大效应及评估–证实–放大模型。     

The semantic pointer theory of emotion: Integrating physiology,appraisal, and construction

Emotion theory needs to explain the relationship of language and emotions, and the embodiment of emotions, by specifying the computational mechanisms underlying emotion generation in the brain. We used Chris Eliasmith’s Semantic Pointer Architecture to develop POEM, a computational model that explains numerous important phenomena concerning emotions, including how some stimuli generate immediate emotional reactions, how some emotional reactions depend on cognitive evaluations, how bodily states influence the generation of emotions, how some emotions depend on interactions between physiological inputs and cognitive appraisals, and how some emotional reactions concern syntactically complex representations. We contrast our theory with current alternatives, and discuss some possible applications to individual and social emotions.     

Toward integrating cognitive components with computational models of emotion using software design patterns

Computational models of emotion (CMEs) are software systems designed to imitate particular aspects of human emotions. The main purpose of this type of computational model is to capture the complexity of the human emotion process in a software system that is incorporated into a cognitive agent architecture. However, creating a CME that closely imitates the actual functioning of emotions demands to address some challenges such as (i) sharing information among independently developed cognitive and affective components, and (ii) interconnecting complex cognitive and affective components that must interact with one another in order to generate realistic emotions, which may even affect agents’ decision making. This paper proposes an architectural pattern aimed at cataloging and describing fundamental components of CMEs and their interrelationships with cognitive components. In this architectural pattern, external cognitive components and internal affective components of CMEs do not interact directly but are extended by including message exchange methods in order to use a publish-subscribe channel, which enables their intercommunication, thus attenuating issues such as software heterogeneity. This structural approach centralizes communication management and separates the inherent complexity of the cognitive and affective processes from the complexity of their interaction mechanisms. In so doing, it enables the design of CMEs’ architectures composed of independently developed affective and cognitive components. The proposed architectural pattern attempts to make progress in capturing the complex process of human emotions in a software system that adheres to software engineering best practices and that incorporates quality attributes such as flexibility and interoperability.     

Cognition and emotion: a plea for theory

ABSTRACT

Research on cognition and emotion during the past 30 years has made reasonable progress in theory, methods and empirical research. New theories of the cognition–emotion relation have been proposed, emotion research has become more interdisciplinary, and improved methods of emotion measurement have been developed. On the empirical side, the main achievement of the past 30 years is seen to consist in the reduction of the set of serious contenders for a theory of emotions. Still, several important issues are not fully resolved, including the computational implementation of appraisal processes, the nature of emotions, and the link between emotions and actions. Also, quantitative theories of the cognition–emotion relation need to be refined and tested, and improved theories of the link between emotions and bodily and facial expressions need to be developed. To counter the dangers of theoretical fragmentation and knowledge loss, more efforts should be devoted to the analysis, reconstruction, comparison and integration of important theories and hypotheses in the field of emotion, as well as to the systematization of arguments in favor and against these theories and hypotheses.     

情绪调节对工作倦怠的影响作用分析

情绪调节是工作倦怠的一个重要预测变量。实证研究表明, 压抑负面情绪和采用表面表演策略是情绪调节导致工作倦怠的主要原因; 而情绪智力、工作自主等个体因素和组织因素对于情绪调节与工作倦怠的关系具有重要的调节效应。情绪调节对工作倦怠作用机制的理论解释包括面部表情理论、资源保存理论和情绪的社会功能。在此基础上建立了综合的理论模型来分析情绪调节对工作倦怠的作用机制, 提出应该深入探讨组织支持、领导行为和情感文化的调节效应, 并从人力资源管理实践的角度采取预防与干预措施。     

Child and Adolescent Emotion Regulation: The Role of Parental Emotion Regulation and Expression

This paper reviews current literature relating to parent and child emotional functioning, specifically their emotion regulatory skills and emotional expression. Included are considerations regarding theoretical, methodological, and sampling strengths and weaknesses of existing literature. On the basis of the review, several directions for future research are proposed. First, it is argued that consistency in the measurement of emotion regulation is necessary, including assessment of more refined theoretical conceptualizations of regulatory types, skills, or strategies. Second, it is argued that emotion regulation developmental research examining the post-early childhood period is necessary in order to contribute to a more comprehensive understanding of youths’ emotion regulation. Finally, it is argued that greater examination of paternal influences on child emotional functioning, in addition to maternal influences, is required. Consideration of these issues in future emotion regulation research will ideally contribute to a greater understanding of the mechanisms involved in child and adolescent development of optimal regulatory capacities.     

Integration of Two Skeptical Emotion Theories: Dimensional Appraisal Theory and Russell's Psychological Construction Theory

This inquiry attempts to integrate two skeptical emotion theories: dimensional appraisal theory and Russell's (2003) psychological construction theory. To bring out the skeptical elements of these theories, I compare them first with two classic theories: affect program theory and discrete appraisal theory. The skeptical theories are similar to each other in that they replace the concept of emotion with the concept of emotional episode, and that they organize the variety within the set of emotional episodes according to dimensions instead of vernacular emotion subsets. Their differences concern the strength of the relations among the components in emotional episodes and the scientific status of the set of emotional episodes. To make an informed decision about the elements to keep and to revise from both theories, I engage in a separate analysis of the behavior-related components and the experience component, guided by insights from general behavior theories and general theories of consciousness. The analysis of the behavior-related components suggests the relatively uncharted idea that the so-called emotional aspect of behavior can be caused by a goal-directed mechanism. The analysis of the experience component reveals that different theories have emphasized different aspects of experience and hence different paths toward experience. The inquiry ends with an integrated theory that rejects the scientific status of emotions or emotional episodes, but accepts the scientific status of the components and sees strong causal relations among them.     

Collective emotions

Research on collective emotions has been limited until recently to theories of irrational crowds, scepticism about genuinely group‐level psychological phenomena and analyses of the unconscious or ritual sources of mass affective experience. However, collective emotion is now a thriving research area that combines studies from philosophy, anthropology, sociology, social psychology and neuroscience. This article examines neo‐Durkheimian theories of collective emotions and relevant contributions of discursive psychologists and other social scientists influenced by the “turn to affect.” I argue that future theoretical and empirical investigations should do the following: (1) critically examine theories focusing on diffuse emotional energy and discrete collective emotions by also exploring the generation and production of genuinely collective mixed emotions; (2) clarify problems with “bottom‐up” models of causal mechanisms through exploration of “affective practices”; and (3) explore the implications of Tuomela's ( 2013 ) “top‐down” social ontology of “group agents” as a framework for theories and studies of collective emotion.     

Development of computational models of emotions: A software engineering perspective

Computational Models of Emotions (CMEs) are software systems designed to explain the phenomenon of emotions. The mechanisms implemented in this type of computational models are based on human emotion theories reported in the literature and designed to provide intelligent agents with affective capabilities and improve human-computer interaction. However, despite the growing interest in this type of models, the development process of CMEs does not seem to follow formal software methodologies. In this paper, we present an analysis of CMEs from a software engineering perspective. We aim to identify what elements of software engineering are used in the development process of CMEs and to demonstrate how some software engineering techniques may support and improve their development process. We discuss a series of challenges to be addressed in order to take advantage of software engineering techniques: (1) definition of guidelines to help decide which emotion theories should be implemented computationally, (2) homogenization of terms about human emotions, their components, phases, and cycles implemented in CMEs, (3) design of CMEs whose components can be reusable, (4) definition of standard criteria for comparative analysis between CMEs, (5) identification of software engineering principles, concepts, and design practices useful in the construction of CMEs, and (6) definition of standard frameworks to validate CMEs.     

语篇情绪理解及其认知神经机制

在心理语言学领域,情绪信息加工是语篇理解的重要方面,得到了广泛关注。目前的研究表明,读者在语篇阅读中可以在线地、自动地推测出语篇情绪信息,追踪情绪信息的变化,并对其进行更新。语篇理解相关的模型及一些事件相关电位(ERP)的实证研究表明语篇情绪理解至少包括两个重要的加工过程:一是对语篇情绪信息的实时监控,二是对当前情绪信息的评估与更新。相关的功能磁共振(f MRI)的研究表明语篇情绪理解除了需要经典的情绪加工网络,还需要多个脑区网络的参与,如,语篇理解网络、心理理论(To M)网络。未来研究还需更加深入地、更加细致地探讨语篇情绪理解的认知神经机制及其可能的影响因素,研究成果也可以为情感计算领域提供一定的借鉴。     

Criteria for the design and evaluation of cognitive architectures

Cognitive architectures are unified theories of cognition that take the form of computational formalisms. They support computational models that collectively account for large numbers of empirical regularities using small numbers of computational mechanisms. Empirical coverage and parsimony are the most prominent criteria by which architectures are designed and evaluated, but they are not the only ones. This paper considers three additional criteria that have been comparatively undertheorized. (a) Successful architectures possess subjective and intersubjective meaning, making cognition comprehensible to individual cognitive scientists and organizing groups of like-minded cognitive scientists into genuine communities. (b) Successful architectures provide idioms that structure the design and interpretation of computational models. (c) Successful architectures are strange: They make provocative, often disturbing, and ultimately compelling claims about human information processing that demand evaluation.     

A computational model based on Gross’ emotion regulation theory

Emotion regulation describes how a subject can use certain strategies to affect emotion response levels. Usually, models for emotion regulation assume mechanisms based on feedback loops that indicate how to change certain aspects of behavior or cognitive functioning in order to get a more satisfactory emotion response level. Adaptation of such feedback loops is usually left out of consideration. This paper introduces an adaptive computational model for emotion regulation by formalizing the model informally described by Gross (1998). The model has been constructed using a high-level modeling language, and integrates both quantitative aspects (such as levels of emotional response) and qualitative aspects (such as decisions to regulate one’s emotion). This model includes mechanisms for adaptivity of the degree of flexibility of the emotion regulation process. Also, the effects of events like traumas or therapies on emotion regulation can be simulated. Based on this computational model, a number of simulation experiments have been performed and evaluated.     

心理理论的ERP研究:基于多重成分框架的视角

心理理论是社会认知的核心能力之一。现有的心理理论ERP研究以心理理论较为公认的4个成分信念、愿望、意图和情绪为框架,表现出了一些一致性的规律:心理理论相关的脑电成分根据不同的心理理论成分而有所区分;不同心理理论成分诱发的相关脑电出现的位置表现出跨任务的一致性;心理理论的ERP发展研究在儿童身上表现出与成人类似的结果,但也具有时间窗口更长,位置分布更宽广的特性。未来的研究需要设计出更符合ERP研究技术要求的任务范式,并注意心理理论概念结构的完整性,还应探寻心理理论各成分加工的共同电生理基础。