Emotional face prediction in rejection sensitive individuals: Evidence from event-related potentials

Human beings live in an uncertain world, but they continuously generate top-down predictions about emotional face information of other people around them. Although the prediction processing has repeatedly been investigated in the literature of prediction, little is known about the impact of rejection sensitive (RS) on individuals’ emotional face prediction. To this end, high and low RS participants were asked to perform an identification task of emotional faces in which target faces were shown in either an angry or happy expression while their brain responses were recorded using an event-related potential (ERP) technique. The behavioral results suggested an effect of emotional face prediction. For the P100 component, low RS participants showed longer P100 peak latencies in the left than right hemisphere when they viewed predictable emotional faces. In addition, low RS participants showed larger N170 mean amplitudes for angry compared to happy faces when they perceived unpredictable faces, but not when these faces were predictable. This presumably reflected a sensibility to angry faces in the unpredictable trails. Interestingly, high RS participants did not demonstrate such a N170 difference, suggesting that high RS participants showed a reduced sensitivity to unpredictable angry faces. Furthermore, angry faces triggered increased LPP mean amplitudes compared to happy faces, which was consistent with the results of other ERP studies examining the processing of emotional faces. Finally, we observed significant negative correlations between behavioral and ERP prediction effect, indicating one consistency between the behavioral and electrophysiological data.     

Building a controllable expressive speech synthesis system with multiple emotion strengths

Emotion is considered to be an essential element in the performance of human-computer interactions. In expressive synthesis speech, it is important to generate emotional speech that reflects subtle and complex emotional states. However, there has been limited research on how to effectively synthesize emotional speech using different levels of emotion strength with intuitive control, which is difficult to be modeled effectively. In this paper, we explore an expressive speech synthesis model that can be used to produce speech with multiple emotion strengths. Unlike previous studies that encoded emotions into discrete codes, we propose an embedding vector to continuously control the emotion strength, which is a data-driven method to synthesize speech with a fine control over the emotions. Compared with the models using the retraining technique or a one-hot vector, our proposed model using an embedding vector can explicitly learn the high-level emotion strength from the low-level acoustic features. As a result, we can control the emotion strength of synthetic speech in a relatively predictable and globally consistent way. The objective and subjective evaluation tests show that our proposed model achieves state-of-the-art performance in terms of model flexibility and controllability.     

The relationship between individual differences in spontaneous self-affirmation and affect associated with self-weighing

We investigate whether the tendency to self-affirm in response to threat is associated with how people feel when they weigh themselves. People who were preoccupied with their weight anticipated feeling less negative (Studies 1a and 1b) and felt less negative (Study 2) when self-weighing if they typically affirmed their strengths. Study 3 experimentally manipulated self-affirmation. Although this intervention prompted affirmation of strengths it did not influence how participants felt when they subsequently weighed themselves. Together, the findings suggest that the tendency to spontaneously affirm strengths, but not values or social relations, is associated with the psychological outcomes of self-weighing and thus provide the basis for understanding how such individual differences might moderate how people respond in other self-evaluative contexts.     

The influence of maternal anxiety and depression symptoms on fNIRS brain responses to emotional faces in 5- and 7-month-old infants

Greater relative right (versus left) frontal cortical activation to emotional faces as measured with alpha power in the electroencephalogram (EEG), has been considered a promising neural marker of increased vulnerability to psychopathology and emotional disorders. We set out to explore multichannel fNIRS as a tool to investigate infants’ frontal asymmetry responses (hypothesizing greater right versus left frontal cortex activation) to emotional faces as influenced by maternal anxiety and depression symptoms during the postnatal period. We also explored activation differences in fronto-temporal regions associated with facial emotion processing. Ninety-one typically developing 5- and 7-month-old infants were shown photographs of women portraying happy, fearful and angry expressions. Hemodynamic brain responses were analyzed over two frontopolar and seven bilateral cortical regions subdivided into frontal, temporal and parietal areas, defined by age-appropriate MRI templates. Infants of mothers reporting higher negative affect had greater oxyhemoglobin (oxyHb) activation across all emotions over the left inferior frontal gyrus, a region implicated in emotional communication. Follow-up analyses indicated that associations were driven by maternal depression, but not anxiety symptoms. Overall, we found no support for greater right versus left frontal cortex activation in association with maternal negative affect. Findings point to the potential utility of fNIRS as a method for identifying altered neural substrates associated with exposure to maternal depression in infancy.     

Constructing Semantic Models From Words,Images, and Emojis

A number of recent models of semantics combine linguistic information, derived from text corpora, and visual information, derived from image collections, demonstrating that the resulting multimodal models are better than either of their unimodal counterparts, in accounting for behavioral data. Empirical work on semantic processing has shown that emotion also plays an important role especially in abstract concepts; however, models integrating emotion along with linguistic and visual information are lacking. Here, we first improve on visual and affective representations, derived from state-of-the-art existing models, by choosing models that best fit available human semantic data and extending the number of concepts they cover. Crucially then, we assess whether adding affective representations (obtained from a neural network model designed to predict emojis from co-occurring text) improves the model's ability to fit semantic similarity/relatedness judgments from a purely linguistic and linguistic–visual model. We find that, given specific weights assigned to the models, adding both visual and affective representations improves performance, with visual representations providing an improvement especially for more concrete words, and affective representations improving especially the fit for more abstract words.     

The demanding world of emotion: A Gestalt approach to emotion experience

Psychology is biased towards thinking of emotions as feelings rather than as an experiences of the world. But they are both. World-focused emotion experiences (WFEE) are how the world appears or is consciously perceived in one's emotion experience. For example, when happy the world may seem welcoming, or when sad the world may seem barren of possibilities. What explains these experiences? This article discusses explanations of WFEE from phenomenology and Gestalt psychology. Influenced by Lewin, I propose an “emotional demand model” of WFEE. The emotional demand character of objects (e.g. bear-to-be-run-from) is distinguished from their expressive character (e.g. angry bear). It is a mistake to think of emotion faces only as expressions—they are also demands. This distinction explains some anomalous findings in infancy and autism research. The model highlights another tool for recognizing our own emotions: noticing when we feel “demanded of” by the world, with implications for emotion regulation.     

The role of primordial emotions in the evolutionary origin of consciousness

Primordial emotions are the subjective element of the instincts which are the genetically programmed behaviour patterns which contrive homeostasis. They include thirst, hunger for air, hunger for food, pain and hunger for specific minerals etc.There are two constituents of a primordial emotion—the specific sensation which when severe may be imperious, and the compelling intention for gratification by a consummatory act. They may dominate the stream of consciousness, and can have plenipotentiary power over behaviour.It is hypothesized that early in animal evolution complex reflex mechanisms in the basal brain subserving homeostatic responses, in concert with elements of the reticular activating system subserving arousal, melded functionally with regions embodied in the progressive rostral development of the telencephalon. This included the emergent limbic and paralimbic areas, and the insula. This phylogenetically ancient organization subserved the origin of consciousness as the primordial emotion, which signalled that the organisms existence was immediately threatened. Neuroimaging confirms major activations in regions of the basal brain during primordial emotions in humans. The behaviour of decorticate humans and animals is discussed in relation to the possible existence of primitive awareness.Neuroimaging of the primordial emotions reveals that rapid gratification of intention by a consummatory act such as ingestion causes precipitate decline of both the initiating sensation and the intention. There is contemporaneous rapid disappearance of particular regions of brain activation which suggests they may be part of the jointly sufficient and severally necessary activations and deactivations which correlate with consciousness [Crick, F. & Koch, C. (2003). A framework for consciousness. Nature Neuroscience, 6, 119–126].     

Antecedent-Focused Emotion Regulation,Response Modulation and Well-Being

The aim of the research was to examine the full range of emotion regulation strategies proposed by the Gross and John (Journal of Personality and Social Psychology 85:348–362, 2003; John, O. P., & Gross, J. J. (2007). Individual differences in emotion regulation. In J. J. Gross (Ed.), Handbook of emotion regulation (pp. 351–372). New York: Guilford) process model of emotional regulation. Seventy-three participants from Australia provided information on their use of emotion regulation strategies, well-being, and emotional intelligence. As predicted by the process model of emotional regulation, antecedent focused regulation strategies were associated with greater well-being. Response-modulation strategies predicted no additional variance in well-being beyond antecedent-regulation strategies. In contrast to past research on the selected response modulation strategy of suppression, in the present research response modulation was not associated with negative well-being outcomes. Individuals higher in emotional intelligence showed more antecedent-focused regulation, a finding congruent with model-based predictions.     

Emotion Regulation: Antecedents and Well-Being Outcomes of Cognitive Reappraisal and Expressive Suppression in Cross-Cultural Samples

Habitual emotional state is a predictor of long-term health and life expectancy and successful emotion regulation is necessary for adaptive functioning. However, people are often unsuccessful in regulating their emotions. We investigated the use of cognitive reappraisal and expressive suppression in 489 university students in Norway, Australia, and the United States and how these strategies related to measures of well-being (affect, life satisfaction, and depressed mood). Data was collected by means of selfadministered questionnaires. The major aims of the study were to begin to explore the prevalence of use of cognitive reappraisal and expressive suppression across gender, age and culture, possible antecedents of emotion regulation strategies, and the influence of emotion regulation upon well-being. Results showed that the use of emotion regulation strategies varied across age, gender and culture. Private self-consciousness (self-reflection and insight) was found to be a central antecedent for the use of cognitive reappraisal. Use of emotion regulation strategies predicted well-being outcomes, also after the effect of extraversion and neuroticism had been controlled for. Generally, increased use of cognitive reappraisal predicted increased levels of positive well-being outcomes, while increased use of expressive suppression predicted increased levels of negative well-being outcomes.

The Role of Ideal Affect in the Experience and Memory of Emotions

According to Affect Valuation Theory (Tsai et al. Journal of Personality and Social Psychology, 54, 1031–1039), culture influences how people want to feel (ideal affect). Integrating Affect Valuation Theory with the Time-sequential Framework of Subjective Well-being (Kim-Prieto et al. Journal of Happiness Studies, 6, 261–300), we proposed that cultural norms influence the memory, but not the experience, of emotion. The present study examined the role of ideal affect in relation to experience sampling and retrospective reports of emotion. Ideal affect correlated with retrospective reports but not experience sampling reports. Extraversion and neuroticism were more strongly related to experience sampling reports than to ideal levels of emotion. Results suggest that retrospective reports of emotion involve a dynamic process that incorporates cultural information into the reconstruction whereas on-line emotions are more constrained by temperament.