Psychological Theories Of Emotion Research Articles

Emotions Represent Evaluative Properties Unconsciously

AbstractDrawing on affective sciences, I argue that normally elicited emotions involve a component—the appraisal process—that represents evaluative properties unconsciously. More specifically, I argue that, given a substantial agreement in affective sciences about what emotions are, given broadly shared definitions of representation, evaluative properties, and unconsciousness, given how appraisals are conceptualized by most (neuro)psychological theories of emotion, and given empirical evidence about affective states elicited by stimuli perceived unconsciously, we are led to conclude that normally elicited emotions involve a component that represents evaluative properties unconsciously. In the last section, I assess which philosophical theories of emotions are in contradiction with my conclusion, ask whether it implies that emotions represent evaluative properties consciously as well, and discuss how it relates to the debate on unconscious emotions.

Interoceptive beliefs moderate the link between physiological and emotional arousal during an acute stressor.

Growing work suggests that interoception, that is, representations of one's internal bodily changes, plays a role in shaping emotional experiences. Past studies primarily examine how behavioral accuracy in detecting interoceptive signals (interoceptive ability) relates to emotional states, with less work examining self-reported interoceptive facets such as the characterizations of one's interoceptive abilities (interoceptive sensibility) or evaluative beliefs about the value versus danger of interoceptive signals (interoceptive beliefs). However, existing studies rarely examine physiological reactivity, behavioral, and self-reported dimensions of interoception together in the same sample. As such, it remains unclear whether and how much individual differences in interoceptive facets uniquely and in interaction with physiological reactivity may matter for emotional experience. Herein, 250 healthy young adults completed a heartbeat detection task assessing interoceptive ability and questionnaire measures of interoceptive sensibility and beliefs during an initial laboratory visit. At a follow-up session, 227 participants returned to undergo an acute psychosocial stressor. Measures of physiological arousal such as preejection period (PEP) and heart rate variability were acquired throughout the stressor with self-reported emotions acquired immediately after. Linear regressions revealed that greater sympathetic nervous system reactivity (i.e., PEP), poorer interoceptive ability (i.e., accuracy), and less positive interoceptive beliefs were related to more intense high arousal emotions during the stressor. Importantly, across models, interoceptive beliefs was the only interoceptive facet to moderate the concordance between physiological and emotional arousal. Implications for psychological theories of emotion, stress, and interoception are discussed. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

I know what i like when i see it: Likability is distinct from pleasantness since early stages of multimodal emotion evaluation.

Liking and pleasantness are common concepts in psychological emotion theories and in everyday language related to emotions. Despite obvious similarities between the terms, several empirical and theoretical notions support the idea that pleasantness and liking are cognitively different phenomena, becoming most evident in the context of emotion regulation and art enjoyment. In this study it was investigated whether liking and pleasantness indicate behaviourally measurable differences, not only in the long timespan of emotion regulation, but already within the initial affective responses to visual and auditory stimuli. A cross-modal affective priming protocol was used to assess whether there is a behavioural difference in the response time when providing an affective rating to a liking or pleasantness task. It was hypothesized that the pleasantness task would be faster as it is known to rely on rapid feature detection. Furthermore, an affective priming effect was expected to take place across the sensory modalities and the presentative and non-presentative stimuli. A linear mixed effect analysis indicated a significant priming effect as well as an interaction effect between the auditory and visual sensory modalities and the affective rating tasks of liking and pleasantness: While liking was rated fastest across modalities, it was significantly faster in vision compared to audition. No significant modality dependent differences between the pleasantness ratings were detected. The results demonstrate that liking and pleasantness rating scales refer to separate processes already within the short time scale of one to two seconds. Furthermore, the affective priming effect indicates that an affective information transfer takes place across modalities and the types of stimuli applied. Unlike hypothesized, liking rating took place faster across the modalities. This is interpreted to support emotion theoretical notions where liking and disliking are crucial properties of emotion perception and homeostatic self-referential information, possibly overriding pleasantness-related feature analysis. Conclusively, the findings provide empirical evidence for a conceptual delineation of common affective processes.

Designing Story-Centric Games for Player Emotion: A Theoretical Perspective

Narratives are powerful because of their impact on our emotional experiences. Recent years have witnessed significant advances in affective computing and intelligent interaction, presenting a broad range of opportunities for enhancing the design, implementation, and adaptivity of interactive narratives. This paper presents preliminary work examining story-centric games and interactive narratives from the perspective of psychological theories of emotion, with a particular focus on player affect. We examine the sources and duration of player emotion, social facets of emotion, players’ individual differences in emotion, and meta-emotions. Recommendations and future directions for research on player emotion in interactive narratives are discussed.

Is knowledge emotion? The subjective emotional responses to wines depend on level of self-reported expertise and sensitivity to key information about the wine

Many factors influence emotional responses evoked by wines. Here we assessed how self-reported wine expertise, tasting condition (blind vs. informed) as well as sensitivity to key information about wines (e.g., reputation, price, grape variety) impact the subjective affective responses they evoked. We measured subjective affective responses of high and low in self-reported wine expertise consumers to 8 different wines in a blind tasting and in a tasting when information about the wines was known. After their first tasting session, we asked participants the extent to which they considered specific information when they intended to purchase wine (e.g., reputation, etc.). The more wine consumers high in self-reported expertise paid attention to the wine’s reputation, the less they used feelings when tasting wines. In contrast, the more the wine tasters low in self-reported expertise paid attention to the wine’s reputation, the more feelings they reported. Moreover, when considering positive and negative feelings separately, it appears that the more participants paid attention to the label, the lower the number of positive terms they tended to mention. Additionally, wine tasters low in self-reported expertise were more inclined to report positive feelings towards the wines in the informed condition and if they were sensitive to wine’s reputation. In contrast, wine tasters high in self-reported expertise were less inclined to report positive feelings towards the wines in the informed condition and if they were sensitive to wine’s reputation. These results hint at the importance of considering psychological theories of emotion while studying wine-elicited emotions, in particular appraisal theories of emotion.

Induction and Profiling of Strong Multi-Componential Emotions in Virtual Reality

Psychological theories of emotion have often defined an emotion as simultaneous changes in several mental and bodily components. In addition, appraisal theories assume that an appraisal component elicits changes in the other emotion components (e.g., motivational, behavioural, experiential). Neither the componential definition of emotion nor appraisal theory have been systematically translated to paradigms for emotion induction, many of which rely on passive emotion induction without a clear theoretical framework. As a result, the observed emotions are often weak. This study explored the potential of virtual reality (VR) to evoke strong emotions in ecologically valid scenarios that fully engaged the mental and bodily components of the participant. Participants played several VR games and reported on their emotions. Multivariate analyses using hierarchical clustering and multilevel linear modelling showed that participants experienced intense, multi-componential emotions in VR. We identified joy and fear clusters of responses, each involving changes in appraisal, motivation, physiology, feeling, and regulation. Appraisal variables were found to be the most predictive for fear and joy intensities, compared to other emotion components, and were found to explain individual differences in VR scenarios, as predicted by appraisal theory. The results advocate for upgraded methodologies for the induction and analysis of emotion processes.

A Multi-Componential Approach to Emotion Recognition and the Effect of Personality

Emotions are an inseparable part of human nature affecting our behavior in response to the outside world. Although most empirical studies have been dominated by two theoretical models including discrete categories of emotion and dichotomous dimensions, results from neuroscience approaches suggest a multi-processes mechanism underpinning emotional experience with a large overlap across different emotions. While these findings are consistent with the influential theories of emotion in psychology that emphasize a role for multiple component processes to generate emotion episodes, few studies have systematically investigated the relationship between discrete emotions and a full componential view. This paper applies a componential framework with a data-driven approach to characterize emotional experiences evoked during movie watching. The results suggest that differences between various emotions can be captured by a few (at least 6) latent dimensions, each defined by features associated with component processes, including appraisal, expression, physiology, motivation, and feeling. In addition, the link between discrete emotions and component model is explored and results show that a componential model with a limited number of descriptors is still able to predict the level of experienced discrete emotion(s) to a satisfactory level. Finally, as appraisals may vary according to individual dispositions and biases, we also study the relationship between personality traits and emotions in our computational framework and show that the role of personality on discrete emotion differences can be better justified using the component model.

Cognitive Flexibility Matters: The Role of Multilevel Positive Affect and Cognitive Flexibility in Shaping Victims’ Cooperative and Uncooperative Behavioral Responses to Trust Violations

Despite a significant growth in the scholarly literature in the area of trust violations and repair in the last decade, extant work has largely ignored the complex and socially competent responses of the victims of these violations. Our framework integrates insights from affective events theory, the broaden-and-build theory of positive emotions, and theories of cognitive processing to suggest that cognitive flexibility is central to understanding how individuals respond to trust violations. Rather than viewing victims solely as gatekeepers to trust repair, we examine how victims’ cognitive processes are influenced by the affective context of those violations, which can, in turn, produce a spectrum of nuanced behavioral responses. We refer to this spectrum as the “swollen middle,” the range of behavior that resides between the extremes of impulsive revenge and forgiveness-based, communal cooperation. By integrating psychological theories of emotion and cognitive processing, we seek to highlight the central role of cognitive flexibility in the range of cooperative responses to trust violations. More broadly, we seek to contribute to the emergence of a new paradigm for studying interpersonal trust at work—a paradigm that explores trust-violating events as situated affect-laden experiences that interact with relevant organizational and interpersonal factors to influence employee behavior and trust dynamics in organizations.

Interpretation and modeling of emotions in the management of autonomous robots using a control paradigm based on a scheduling variable

The paper presents a technical introduction to psychological theories of emotions. It highlights a usable idea implemented in a number of recently developed computational systems of emotions, and the hypothesis that emotion can play the role of a scheduling variable in controlling autonomous robots. In the main part of this study, we outline our own computational system of emotion – xEmotion – designed as a key structural element in the developed target device, being an Intelligent System of Decision-making (ISD) for autonomous and robotic units.The ISD system has a cognitive architecture based on the principles of human psychology. The main purpose of building such a system is to prepare a framework for autonomous units used in system engineering (Kowalczuk and Czubenko, 2011; Czubenko et al., 2015). In particular, ISD is based on the concepts of cognitive psychology (in information processing) and motivation theory, which includes the system of needs (for decision-making). The xEmotion subsystem, however, focuses on modeling an alternative approach based on emotion. The xEmotion implementation covers aspects of somatic, appraisal and evolutionary theories of emotions using fuzzy sets.In this article, we also illustrate the core emotional behavior of the ISD system using simulation. The first application is a user interface for identifying emotions and predicting human behavior. The second is an eSailor simulation, which illustrates the possible behavior of the xEmotion subsystem. The last is an xDriver simulation experiment, which is to prove the validity of the concept of using emotion-based systems, according to the SVC principle. In summary, we also discuss other possible applications of the xEmotion system.

Comparing musical and psychological emotion theories.

Comparing musical and psychological emotion theories.

Predictive Processing of Interoception, Decision-Making, and Allostasis

Emotional intelligence is composed of a set of emotional abilities, including recognition of emotional states in the self and others, the use of emotions to guide thoughts and behaviours, and emotion regulation. Previous studies have demonstrated that emotional intelligence is associated with mental health, social problem solving, interpersonal relationship quality, and academic and job performance. Although emotional intelligence has received much interest both in basic research fields and applied and clinical fields, the mechanisms underlying the functions of emotional intelligence remain unclear. The aim of the present article was to consider the mechanisms of emotional intelligence using a computational approach. Recent theories of emotion in psychology and neuroscience have emphasized the importance of predictive processing. It has been proposed that the brain createsinternal models that can provide predictions for sensation and motor movement, and perception and behaviors emerge from Bayesian computations rooted in these predictions. This theoretical framework has been expanded to include interoceptive perception of the internal body to explain affect and decision-making as phenomena based on interoception. This perspective has implications for understanding issues of emotional intelligence.

Dynamic intersubject neural synchronization reflects affective responses to sad music

Psychological theories of emotion often highlight the dynamic quality of the affective experience, yet neuroimaging studies of affect have traditionally relied on static stimuli that lack ecological validity. Consequently, the brain regions that represent emotions and feelings as they unfold remain unclear. Recently, dynamic, model-free analytical techniques have been employed with naturalistic stimuli to better capture time-varying patterns of activity in the brain; yet, few studies have focused on relating these patterns to changes in subjective feelings. Here, we address this gap, using intersubject correlation and phase synchronization to assess how stimulus-driven changes in brain activity and connectivity are related to two aspects of emotional experience: emotional intensity and enjoyment. During fMRI scanning, healthy volunteers listened to a full-length piece of music selected to induce sadness. After scanning, participants listened to the piece twice while simultaneously rating the intensity of felt sadness or felt enjoyment. Activity in the auditory cortex, insula, and inferior frontal gyrus was significantly synchronized across participants. Synchronization in auditory, visual, and prefrontal regions was significantly greater in participants with higher measures of a subscale of trait empathy related to feeling emotions in response to music. When assessed dynamically, continuous enjoyment ratings positively predicted a moment-to-moment measure of intersubject synchronization in auditory, default mode, and striatal networks, as well as the orbitofrontal cortex, whereas sadness predicted intersubject synchronization in limbic and striatal networks. The results suggest that stimulus-driven patterns of neural communication in emotional processing and high-level cortical regions carry meaningful information with regards to our feeling in response to a naturalistic stimulus.

Applying Probabilistic Programming to Affective Computing.

Affective Computing is a rapidly growing field spurred by advancements in artificial intelligence, but often, held back by the inability to translate psychological theories of emotion into tractable computational models. To address this, we propose a probabilistic programming approach to affective computing, which models psychological-grounded theories as generative models of emotion, and implements them as stochastic, executable computer programs. We first review probabilistic approaches that integrate reasoning about emotions with reasoning about other latent mental states (e.g., beliefs, desires) in context. Recently-developed probabilistic programming languages offer several key desidarata over previous approaches, such as: (i) flexibility in representing emotions and emotional processes; (ii) modularity and compositionality; (iii) integration with deep learning libraries that facilitate efficient inference and learning from large, naturalistic data; and (iv) ease of adoption. Furthermore, using a probabilistic programming framework allows a standardized platform for theory-building and experimentation: Competing theories (e.g., of appraisal or other emotional processes) can be easily compared via modular substitution of code followed by model comparison. To jumpstart adoption, we illustrate our points with executable code that researchers can easily modify for their own models. We end with a discussion of applications and future directions of the probabilistic programming approach.

Sender outcomes of online word-of-mouth transmission

PurposeDespite the importance of online word-of-mouth (WOM) communication to senders, receivers and concerned companies alike, a surprisingly limited amount of research exists on the impacts of online WOM participation on the senders themselves. Motivated by an attempt to fill this significant gap in the literature, this paper aims to investigate the sender outcomes of online WOM participation.Design/methodology/approachThe authors draw on insights from focus group studies and psychological theories of emotions, catharsis and regret and the signaling theory to develop a conceptual model linking the drivers and content characteristics of online WOM participation and sender outcomes.FindingsThe findings show that sender outcomes from online WOM transmission differ by the types of drivers stimulating the online sharing activity and the level of exaggeration in the senders’ self-generated contents. Specifically, online WOM triggered by emotions leads to catharsis and emotional homeostasis among the senders, while that stimulated by motivational drivers such as altruism, reciprocity, self-enhancement and belongingness leads to sender happiness. Exaggeration in self-generated WOM contents by the senders, in turn, leads to delayed outcomes of sender regret and reduced sender trust in general online WOM contents.Research limitations/implicationsThe most important contribution to online WOM research lies in the study of the outcomes of WOM transmission from a sender’s point of view. By drawing on our exploratory findings and psychological theories of emotions, catharsis and regret and the signaling theory, the authors develop a conceptual model linking the drivers and the exaggeration nature of online WOM participation and sender outcomes.Practical implicationsManagers should realize that the most fundamental way of ensuring positive consumption experiences is to listen to customer voices, including even the most negative of feedback shared privately or publicly, and use that information to improve essential customer experience aspects. The finding on the effects of online WOM exaggerations on sender regret suggests that companies and consumers alike should work on ensuring producing more accurate and complete online customer reviews. The finding on the negative effect of online WOM exaggerations on sender trust raises an important question on the meaning of high quality reviews from the company’s perspective. To pursue high quality reviews, merchants should not only aim at receiving the highest possible numeric ratings but also encourage most truthful accounts of purchase and usage experiences. In turn, online platforms such as Amazon should also factor the quality of online ratings more effectively into their product recommendation algorithms.Social implicationsIn further consideration of consumer welfare implications, online WOM transmissions should be more recognized as a tool for allowing consumers to cleanse their emotions associated with marketing stimuli.Originality/valueOverall, the qualitative study and proposed conceptual model contribute to a more thorough and deeper understanding of individual-level sender outcomes of online WOM participation.

The role of emotions in intercultural business communication: Language standardization in the context of international knowledge transfer

We examine language standardization in a multinational enterprise in the context of international knowledge transfer treated as an act of communication. Based on psychological theories of emotions and a qualitative study of a Chinese owned company with English as a working language, we find that both native and non-native English-speakers experience anxiety in intercultural communication. This triggers emotions that are culturally predisposed affecting communication behavior. We provide a framework within which intercultural business communication takes place and demonstrate the intermediating role that emotions play when language is standardized.

Emotions in criminological theory: Insights from social psychology

AbstractA number of scholars have noted that emotional processes have been undertheorized in criminology. Although criminologists have explored how various emotions facilitate or inhibit crime, few formal theories of crime clearly address the role of emotional processes. Sociological theories of emotions provide a number of insights that criminologists might find useful to help fill the gaps in criminological explanations of offending. We illustrate the utility of sociological theories of emotions to criminology by connecting three prominent criminological theories with complimentary social psychological theories of emotions. Specifically, we discuss how the power–status theory of emotions can clarify emotional responses to strain in general strain theory, how affect control theory can illuminate the emotions involved in identity adoption within labeling theory, and how interaction ritual chains theory can highlight emotional responses to coercion in differential coercion theory. Making connections to more clearly theorize emotions is critical to the advancement of criminological theory.

On Elementary Affective Decisions: To Like Or Not to Like, That Is the Question.

Perhaps the most ubiquitous and basic affective decision of daily life is deciding whether we like or dislike something/somebody, or, in terms of psychological emotion theories, whether the object/subject has positive or negative valence. Indeed, people constantly make such liking decisions within a glimpse and, importantly, often without expecting any obvious benefit or knowing the exact reasons for their judgment. In this paper, we review research on such elementary affective decisions (EADs) that entail no direct overt reward with a special focus on Neurocognitive Poetics and discuss methods and models for investigating the neuronal and cognitive-affective bases of EADs to verbal materials with differing degrees of complexity. In line with evolutionary and appraisal theories of (aesthetic) emotions and data from recent neurocognitive studies, the results of a decision tree modeling approach simulating EADs to single words suggest that a main driving force behind EADs is the extent to which such high-dimensional stimuli are associated with the “basic” emotions joy/happiness and disgust.

Modeling Semantic Emotion Space Using a 3D Hypercube-Projection: An Innovative Analytical Approach for the Psychology of Emotions

The widely accepted two-dimensional circumplex model of emotions posits that most instances of human emotional experience can be understood within the two general dimensions of valence and activation. Currently, this model is facing some criticism, because complex emotions in particular are hard to define within only these two general dimensions. The present theory-driven study introduces an innovative analytical approach working in a way other than the conventional, two-dimensional paradigm. The main goal was to map and project semantic emotion space in terms of mutual positions of various emotion prototypical categories. Participants (N = 187; 54.5% females) judged 16 discrete emotions in terms of valence, intensity, controllability and utility. The results revealed that these four dimensional input measures were uncorrelated. This implies that valence, intensity, controllability and utility represented clearly different qualities of discrete emotions in the judgments of the participants. Based on this data, we constructed a 3D hypercube-projection and compared it with various two-dimensional projections. This contrasting enabled us to detect several sources of bias when working with the traditional, two-dimensional analytical approach. Contrasting two-dimensional and three-dimensional projections revealed that the 2D models provided biased insights about how emotions are conceptually related to one another along multiple dimensions. The results of the present study point out the reductionist nature of the two-dimensional paradigm in the psychological theory of emotions and challenge the widely accepted circumplex model.

Appraisals and Reappraisals in the Courtroom

This article provides a brief introduction to psychological emotion theories, particularly appraisal theory. According to appraisal theory emotions are combinations of a person’s appraisal of the novelty, valence, certainty, goal conduciveness, causal agency, controllability, and morality of a situation. These dimensions correspond to elements of the stories attorneys attempt to create in arguing a case. Appraisal theory puts specific content into the vague concept of reappraisal, accounting for emotional changes that go beyond the changes in valence and intensity generally studied by law and emotions scholars.

Models for Computational Emotions from Psychological Theories Using Type-II Fuzzy Logic

Emotions have been subject of research and deliberation in philosophy and psychology mainstream for a long time. In contrast, emotions have only emerged in artificial intelligence research as a serious topic in the last two decades. Year 2000, in particular, experienced a shift in attitude towards emotions and their relationship to human reasoning and human–computer interaction. This shift continued slowly but surely over the years and computational emotions can be seen as a mainstream research topic within artificial intelligence and cognitive systems. In this paper, we attempt to contribute to the development of this area by interpreting psychological theories of emotions computationally and translating them into machine implementable models. These models are generic and application independent which most of the current computational emotions models lack. We have selected two psychological theories, namely Millenson (The psychology of emotion: theories of emotion perspective, vol 4. Wiley, New Jersey, pp 35–36, 1967) and Scherer (Soc Sci Inf 44(4):695–729, 2005), that lend themselves, with varying degrees of difficulty, to the computational interpretation. Fuzzy logic was utilised as a tool to keep the fidelity of psychological interpretation of emotion. The paper discusses in details the computational interpretation of these psychological models and presents a full theoretical formalism in fuzzy logic type 1, implementation and detailed analysis of this psychologically grounded generic computational models.