Basic Emotions Research Articles

Judging emotion in natural images of crowds.

It has been suggested that humans use summary statistics such as the average of the emotion of individual faces when they rapidly judge group emotion. Previous studies have mainly used faces of actors posing basic emotions, and morphed versions of these faces, against a plain background. In the present study, photographs taken in real-world settings were used to investigate the influence of mean facial emotion, maximal facial emotion, and background context on judgments of group emotion, assessed using dimensional ratings of valence, arousal, and dominance. Background context explained a significant amount of unique variance in group ratings for each dimension. Mean emotion explained additional unique variance for valence ratings, whereas maximal emotion explained additional unique variance for arousal, with dominance showing more mixed results. Removing background context and disrupting the contextual and spatial relationship between faces by randomly replacing faces with ones from other images within the stimulus set increased reliance on mean emotion. However, under all conditions, the maximally arousing face continued to exert an influence on ratings of group arousal, in line with theoretical accounts arguing for a unique bottom-up effect of emotional arousal on attentional competition and postattentive perceptual processing. Together these findings suggest that individuals' reliance on average emotion when judging crowd scenes differs as a function of the dimension of affect. In addition, the presence of background context both directly impacts judgments of crowd emotion and modulates the relative influence of maximal versus mean emotion on these judgments. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Facial Expressions of Emotion in Children with Cleft Lip and Palate.

To examine the facial movements children with cleft lip and palate (CLP) employ to express basic emotions. Ability of observers to interpret facial expressions of children with CLP was also considered. Prospective case-control design. Outpatient craniofacial anomalies clinic. Twenty-five children with CLP (age 8 to 12) and 25 age/sex-matched controls. Children were video recorded making facial expressions representing anger, disgust, fear, happiness, sadness, and surprise. Magnitude of children's facial movements was quantified and compared using OpenFace. Subsequently, emotion videos were presented to 19 adults who were asked to identify the emotion conveyed in each facial expression. Accuracy of emotion recognition was compared across groups. Compared with controls, children with CLP employed significantly (P < .05) smaller magnitude superior and lateral perioral movements to express disgust (Cohen's d = .50), happiness (Cohen's d = 1.1), and fear (Cohen's d = .93). For disgust and sadness, children with CLP employed significantly greater magnitude movements of the nose and chin, presumably to compensate for reduced perioral range of motion. For anger, happiness, and sadness, children with CLP employed smaller magnitude movements of the upper face when compared with controls. Observers identified disgust (OR = 1.26), and fear (OR = 2.44) significantly less accurately in children with CLP when compared with controls. Children with CLP employed different facial movements to express certain emotions. Observers less accurately identified some emotions conveyed by facial expressions in children with CLP when compared with controls, likely due in part to differences in facial movements. Future research should explore the implications of these differences for social communication.

The Origin of Social Skills: Manipulating Shared Intentionality in Bioengineering Systems for Empathy Training

This pilot study (&lt;em&gt;N&lt;/em&gt;&lt;em&gt; &lt;/em&gt;= 28) aims to develop universal computer-aided empathy training. The experiment tests a research design of manipulating behavior in subjects toward non-affective cues in a bioengineering system. The study implements the Mother-Fetus Neurocognitive Model to involve subjects in subliminal cognitive collaboration with confederates, which enables subjects to associate the meaning of empathy with the picture only seen by confederates. The outcome shows the feasibility of the chosen research design with the efficiency of the 7-minute training: 50% of subjects confidentially attribute an empathic attitude to the neutral stimuli, and the probability of such an outcome, in a case if achieved by chance, is only &lt;em&gt;p&lt;/em&gt;&lt;em&gt; &lt;/em&gt;= 0.004. Since subliminal collaboration in adults benefits from the innate quality of shared intentionality, the paper also discusses the genesis of basic emotions and social skills through neuronal coordinated activity in the mother-child dyad beginning from the pregnancy period.

Pupils’ emotional expression observed in the primary school context / Observación de la expresión emocional de los alumnos en el contexto de educación primaria

The present study investigated the expression of emotions in pupils of the first five grades of primary school. The sample ( N = 114) comprised pupils aged between 6.5 and 10.6 years, whose expression of emotions was observed using an observational schema. Observations were gathered in classrooms at 70 schools in different regions of Slovenia. Fourteen emotions were recognized in the pupils’ expressions, with joy and anger predominating. The intensity of the expression of positive and negative emotions, as well as basic and complex emotions, was moderate, and no significant difference in intensity was observed between these categories. Boys expressed more positive, negative and basic emotions than girls. The situations that elicited emotions varied and reflected the prominent issues in school, particularly academic achievement, social interactions with teachers and classmates, and activities during lessons. The applicability of the results to teachers’ work in the classroom was highlighted.

Facial and Emotion Recognition Deficits in Myasthenia Gravis.

Myasthenia gravis (MG) is a neuromuscular disease of autoimmune etiology and chronic evolution. In addition to the muscle weakness and fatigue that characterize MG, in some studies patients show an inferior performance in cognitive tasks and difficulties in recognizing basic emotions from facial expressions. However, it remains unclear if these difficulties are due to anxious-depressive symptoms that these patients present or related to cognitive abilities, such as facial recognition. This study had a descriptive cross-sectional design with a sample of 92 participants, 52 patients with MG and 40 healthy controls. The data collection protocol included measures to assess recognition of facial expressions (BRFT), facial emotional expression (FEEL), and levels of anxiety and depression (HADS). The MG group had worse performance than the control group in recognizing "fear" (p = 0.001; r = 0.344), "happiness" (p = 0.000; r = 0.580), "disgust" (p = 0.000; r = 0.399), "surprise" (p = 0.000; r = 0.602), and "anger" (p = 0.007; r = 0.284). Likewise, the MG group also underperformed in facial recognition (p = 0.001; r = 0.338). These difficulties were not related to their levels of anxiety and depression. Alterations were observed both in the recognition of facial emotions and in facial recognition, without being mediated by emotional variables. These difficulties can influence the interpersonal interaction of patients with MG.

Finding love in algorithms: deciphering the emotional contexts of close encounters with AI chatbots

Abstract AI chatbots are permeating the socio-emotional realms of human life, presenting both benefits and challenges to interpersonal dynamics and well-being. Despite burgeoning interest in human–AI relationships, the conversational and emotional nuances of real-world, in situ human–AI social interactions remain underexplored. Through computational analysis of a multimodal dataset with over 35,000 screenshots and posts from r/replika, we identified seven prevalent types of human–AI social interactions: intimate behavior, mundane interaction, self-disclosure, play and fantasy, customization, transgression, and communication breakdown, and examined their associations with six basic human emotions. Our findings suggest the paradox of emotional connection with AI, indicated by the bittersweet emotion in intimate encounters with AI chatbots, and the elevated fear in uncanny valley moments when AI exhibits semblances of mind in deep self-disclosure. Customization characterizes the distinctiveness of AI companionship, positively elevating user experiences, whereas transgression and communication breakdown elicit fear or sadness.

Identifying the hierarchical emotional areas in the human brain through information fusion

The brain basis of emotion has consistently received widespread attention, attracting a large number of studies to explore this cutting-edge topic. However, the methods employed in these studies typically only model the pairwise relationship between two brain regions, while neglecting the interactions and information fusion among multiple brain regions—one of the key ideas of the psychological constructionist hypothesis. To overcome the limitations of traditional methods, this study provides an in-depth theoretical analysis of how to maximize interactions and information fusion among brain regions. Building on the results of this analysis, we propose to identify the hierarchical emotional areas in the human brain through multi-source information fusion and graph machine learning methods. Comprehensive experiments reveal that the identified hierarchical emotional areas, from lower to higher levels, primarily facilitate the fundamental process of emotion perception, the construction of basic psychological operations, and the coordination and integration of these operations. Overall, our findings provide unique insights into the brain mechanisms underlying specific emotions based on the psychological constructionist hypothesis.

Relationship between severity of hypomimia and basic emotion recognition in Parkinson's disease

Parkinson's disease is characterised by the presence of motor symptoms including hypomimia, and by non-motor symptoms including alterations in facial recognition of basic emotions. Few studies have investigated this alteration and its relationship to the severity of hypomimia. The objective is to study the relationship between hypomimia and the facial recognition of basic emotions in subjects with Parkinson's disease. Twenty-three patients and 29 controls were evaluated with the test battery for basic emotion facial recognition. The patients were divided into two subgroups according to the intensity of their hypomimia. The comparison in battery test performance between the minimal/mild hypomimia and moderate/severe hypomimia groups was statistically significant in favour of the former group. This finding shows a close relationship between expression and facial recognition of emotions, which could be explained through the mechanism of motor simulation.

Creating Emordle: Animating Word Cloud for Emotion Expression.

We propose emordle, a conceptual design that animates wordles (compact word clouds) to deliver their emotional context to audiences. To inform the design, we first reviewed online examples of animated texts and animated wordles, and summarized strategies for injecting emotion into the animations. We introduced a composite approach that extends an existing animation scheme for one word to multiple words in a wordle with two global factors: the randomness of text animation (entropy) and the animation speed (speed). To create an emordle, general users can choose one predefined animated scheme that matches the intended emotion class and fine-tune the emotion intensity with the two parameters. We designed proof-of-concept emordle examples for four basic emotion classes, namely happiness, sadness, anger, and fear. We conducted two controlled crowdsourcing studies to evaluate our approach. The first study confirmed that people generally agreed on the conveyed emotions from well-crafted animations, and the second one demonstrated that our identified factors helped fine-tune the extent of the emotion delivered. We also invited general users to create their own emordles based on our proposed framework. Through this user study, we confirmed the effectiveness of the approach. We concluded with implications for future research opportunities of supporting emotion expression in visualizations.

Facial Expression Analysis Using Multi-label Classification

Emotions form the reflection of an individual's mental state. Automatic expression analysis and its recognition based on their facial landmarks are of critical use, particularly to understand the emotional states of physically disabled individuals like autistic children, deaf, dumb, and bedridden individuals. This approach helps in interpreting human emotions, which is crucial for designing computational models and interfaces that cater to their needs. While traditional research has focused on six basic emotion categories (happiness, surprise, sadness, anger, fear, disgust), your work expands this by exploring compound emotion categories. Compound emotions combine these basic categories to create nuanced emotional states. The research utilizes the CFEE_Database_230 dataset of facial expressions captured for analysis and training purposes. The proposed methodology has the following three steps: Analyze the dataset and extract the region of interest (ROI), Extract various statistical and potentially discriminating features and apply a multi-label classification approach to categorize sets of emotions. This involves comparing the feature values across different emotion classes and assigning appropriate labels, particularly focusing on compound emotion categories. Also, the research employs different classifiers and metrics to evaluate the effectiveness of the model. After applying the classification methods, the results are analyzed using various metrics to assess the accuracy and effectiveness of emotion recognition based on facial landmarks. Based on the findings, the Binary Relevance Method yielded the best performance with Mean Average Precision and hamming Loss of 0.7227±0.0344 and 0.1906±0.0227, respectively. Overall, the work contributes to advancing automatic emotion recognition by considering a broader range of emotional categories beyond the traditional basics. This is particularly beneficial for populations such as the physically disabled and autistic children, where traditional communication methods might be limited or challenging.

Horses can learn to identify joy and sadness against other basic emotions from human facial expressions

Recently, horses and other domestic mammals have been shown to perceive and react to human emotional signals, with most studies focusing on joy and anger. In this study, we tested whether horses can learn to identify human joyful and sad expressions against other emotions. We used a touchscreen-based automated device that presented pairs of human portraits and distributed pellets when the horse touched the rewarded face. Six horses were trained to touch the sad face and 5 the joyful face. By the end of training, horses’ performances at the group level were significantly higher than chance level, with higher scores for horses trained with the sad face. At the individual level, evidence of task learning varied among horses, which could be explained by individual variations in horses’ ability to identify different human facial expressions or attention issues during the tests. In a generalization test, we introduced portraits of different humans than those presented during training. Horses trained with the joyful face performed better than chance, demonstrating generalization. Conversely, horses trained with the sad face did not. Horses also showed differences in learning performance according to the non-rewarded emotion, providing insights into horses’ cognitive processing of facial expressions.

Recognition of Dynamic Emotional Expressions in Children and Adults and Its Associations with Empathy.

This present study investigates emotion recognition in children and adults and its association with EQ and motor empathy. Overall, 58 children (33 5-6-year-olds, 25 7-9-year-olds) and 61 adults (24 young adults, 37 parents) participated in this study. Each participant received an EQ questionnaire and completed the dynamic emotion expression recognition task, where participants were asked to identify four basic emotions (happy, sad, fearful, and angry) from neutral to fully expressed states, and the motor empathy task, where participants' facial muscle activity was recorded. The results showed that "happy" was the easiest expression for all ages; 5- to 6-year-old children performed equally well as adults. The accuracies for "fearful," "angry," and "sad" expressions were significantly lower in children than in adults. For motor empathy, 7- to 9-year-old children exhibited the highest level of facial muscle activity, while the young adults showed the lowest engagement. Importantly, individual EQ scores positively correlated with the motor empathy index in adults but not in children. In sum, our study echoes the previous literature, showing that the identification of negative emotions is still difficult for children aged 5-9 but that this improves in late childhood. Our results also suggest that stronger facial mimicry responses are positively related to a higher level of empathy in adults.

The impact of high arousal and displeasure on online review helpfulness: Exploring the moderating role of product involvement

Online reviews help consumers make purchasing decisions on e-commerce platforms by addressing uncertainties in online shopping. In the context of information overload, the value of review helpfulness has become increasingly evident. This study aims to explore the effects of discrete emotions on helpfulness by categorizing Ekman’s six basic emotions based on arousal and valence, and extracting their probabilities from Amazon reviews using BERT (Bidirectional Encoder Representations from Transformers). The results indicate high arousal or negative emotions adversely influence review usefulness. Furthermore, anger, disgust, and fear, characterized by high arousal and displeasure, significantly affect the perceived helpfulness of the reviews. Additionally, we identify product involvement as a significant moderator, suggesting that consumers’ investment in products influences their interpretation of reviews’ emotional content. This study contributes to understanding the relationship between discrete emotions, product involvement, and review helpfulness in e-commerce, offering insights for online retailers and platform developers to enhance consumer decision-making.

Public enemies? The differential effects of reputation and celebrity on corporate misconduct scandalization

AbstractResearch SummaryWe explore misconduct scandalization's antecedents by focusing on the rational and emotional bases underlying reputation and celebrity, and considering how they can enhance or reduce the likelihood misconduct is scandalized as a function of the misconduct's objective and perceived severity. Specifically, we argue the quantifiable nature of objective misconduct severity enhances reputation's rational influence, but attenuates celebrity's emotion‐based appeal. Conversely, perceived misconduct severity reduces reputation's influence, while enhancing the media‐driven interest in celebrity firms' behaviors. Our findings based on corporate data breaches confirm that objective severity amplifies reputation's effect and attenuates celebrity's effect, while perceived severity amplifies celebrity's effect and attenuates reputation's effect. Our findings highlight the importance of social evaluations' sociocognitive content in understanding why only some misconduct becomes scandalized.Managerial SummaryCommitting misconduct is costly; having it scandalized is devastating. Yet little is known about how social evaluations influence why only some firms' misconduct is scandalized, beyond the vague notion that prominent firms' misconduct attracts media attention. We find that the rational and emotional bases of firms' evaluations matter. High reputation, based on the rational assessment of firms' capabilities, increases the likelihood of scandalization for objectively severe misconduct, and the influence of celebrity—originating from audiences' emotional resonance with firms' unconventional traits and behaviors—weakens as objective severity increases. Conversely, reputation's influence weakens, and celebrity's influence strengthens, as media “availability cascades” grow and increase perceived severity. In addition to providing a more realistic portrayal of media behavior, we offer insights into post‐misconduct communications and remedial actions.

Development of a Booklet for Introduction to Types of Emotions in Preschool Children

This study aims to develop an emotion recognition booklet for preschoolers based on Paul Ekman's (1972) basic emotion types. This research uses the Research &amp; Development (R&amp;D) method with ADDIE instructional design. Validation by experts showed that the booklet is 100% very valid and feasible to use to support emotional learning in early childhood in preschool, Before the use of the booklet, children only recognize some basic emotions such as angry and sad. After using the booklet, they can identify six basic emotions and connect the expression of emotions with triggers in daily life. The booklet is designed with simplified sentences and attractive visuals, using an interactive approach.

Age and sex differences in emotion perception are influenced by emotional category and communication channel.

Sex differences in verbal and nonverbal emotion processing in older individuals are underexplored despite declining emotional performance with age. This study aimed to investigate the nature of sex differences in age-related decline in emotion perception, exploring modulatory effects on communication channels and emotion categories. Seventy-three older adults (43 female participants, aged 60-89 years) and 74 younger adults (37 female participants, aged 18-30 years) completed a task to recognize basic emotions (i.e., anger, happiness, neutrality, sadness) expressed by female or male encoders through verbal (i.e., semantic) and nonverbal (i.e., facial and prosodic) channels. Female participants consistently demonstrated an overall advantage in emotion perception and expression across both age cohorts. In older adults, this superiority was heightened in decoding angry and sad faces, as well as angry prosody and happy and sad semantics. However, older individuals exhibited decreased sensitivities to angry semantics, sad prosody, and neutral prosody from female encoders, whereas they showed heightened sensitivities to happy faces from female encoders and angry faces from male encoders. Both older and younger adults displayed age-related changes in sex interactions specific to emotional categories and channels. But neither own-sex nor opposite-sex bias was systematically observed across the two age groups. These results suggest that explicit emotion processing involves an intricate integration of individual and contextual differences, with significant age and sex interplay linked to specific emotions and channels. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Context-dependent basic and moral emotions in adults with autism

Context-dependent basic and moral emotions in adults with autism

The Influence of Emotional Facial Expression Intensity on Decoding Accuracy: High Intensity Does Not Yield High Accuracy

AbstractThis study examined the relationship between the intensity of emotional expressions in facial stimuli and receivers' decoding accuracy for six basic emotions: anger, disgust, fear, happiness, sadness, and surprise. A laboratory experiment was conducted using the forced‐choice method, in which the intensity of each stimulus was manipulated at every 10% interval using the morphing technique. To explore whether a linear relationship would be observed when the intensity was finely manipulated at 10% intervals, a hierarchical multiple regression analysis was performed. The mean percentage of correct responses for each stimulus was the dependent variable, and the linear, quadratic, and cubic terms of the stimulus intensity were the independent variables. The results showed that the linear model was not adopted as the final model for all facial expressions; that is, the effect of the squared term of intensity was significant for anger, disgust, fear, and sadness, while the effect of the cubic term of intensity was significant for happiness and surprise. Our findings indicate that a higher intensity of emotional expression does not yield higher decoding accuracy.

The inductive effect of musical mode types on emotions and physiological responses: Chinese pentatonic scales versus Western major/minor modes.

The value of music lies in its ability to evoke emotions. People can gain emotional experiences in music and can also regulate their own emotions through music. Music has its own structural rules, and exploring the relationship between musical structure and emotions is an important approach to understanding the mechanism of music-induced emotions. Musical mode refers to the arrangement of intervals around the tonic, presenting different musical modes based on the central tone and the arrangement of intervals, including Chinese pentatonic modes and Western major and minor modes. Musical morphology indicates significant differences in the construction intensity of traditional Chinese pentatonic modes and major and minor modes, affecting their mode forms and thus determining their adaptability to external influences. Exploring the modalities of music and the effects of individual music training experiences on emotion induction; validating whether musical modes exhibit cross-cultural universality in the process of emotion induction. This study recruited 65 university students as participants (34 with music training experience, 31 without music training experience). Through a passive listening paradigm using the GEMS and combined with a biofeedback equipment, it explored the differences in behavioral and physiological indicators (skin conductance, temperature, heart rate) of emotional experiences (basic and aesthetic emotions) influenced by the modal forms of Chinese traditional pentatonic modes and Western major and minor modes. Firstly, the arousal level of music emotion is a primary factor influencing individuals' aesthetic emotional experiences in music, which is related to the intensity of modal construction in music; Secondly, the emotional pleasure and skin temperature change induced by pentatonic music are greater than those induced by major and minor modes; Thirdly, the arousal level, electrodermal change, and heart rate variability of major and minor modes are greater than those of pentatonic music; Finally, music training experience enhances college students' familiarity and preference for pentatonic music, thereby strengthening the electrodermal physiological indicators of emotional experiences. The different modal forms of music express different levels of emotional arousal, leading to differences in individuals' emotional dimensions and physiological indicators in music. Additionally, individuals' music training experiences and cultural backgrounds also influence their experience of music emotions.

Masked emotions: does children's affective state influence emotion recognition?

Facial emotion recognition abilities of children have been the focus of attention across various fields, with implications for communication, social interaction, and human behavior. In response to the COVID-19 pandemic, wearing a face mask in public became mandatory in many countries, hindering social information perception and emotion recognition. Given the importance of visual communication for children's social-emotional development, concerns have been raised on whether face masks could impair their ability to recognize emotions and thereby possibly impact their social-emotional development. To this extent, a quasiexperimental study was designed with a two-fold objective: firstly, to identify children's accuracy in recognizing basic emotions (anger, happiness, fear, disgust, sadness) and emotional neutrality when presented with faces under two conditions: one with no-masks and another with faces partially covered by various types of masks (medical, nonmedical, surgical, or cloth); secondly, to explore any correlation between children's emotion recognition accuracy and their affective state. Sixty-nine (69) elementary school students aged 6-7 years old from Greece were recruited for this purpose. Following specific requirements of the second phase of the experiment students were assigned to one of three (3) distinct affective condition groups: Group A-Happiness, Group B-Sadness, and Group C-Emotional Neutrality. Image stimuli were drawn from the FACES Dataset, and students' affective state was registered using the self-reporting emotions-registration tool, AffectLecture app. The study's findings indicate that children can accurately recognize emotions even with masks, although recognizing disgust is more challenging. Additionally, following both positive and negative affective state priming promoted systematic inaccuracies in emotion recognition. Most significantly, results showed a negative bias for children in negative affective state and a positive bias for those in positive affective state. Children's affective state significantly influenced their emotion recognition abilities; sad affective states led to lower recognition overall and a bias toward recognizing sad expressions, while happy affective states resulted in a positive bias, improving recognition of happiness, and affecting how emotional neutrality and sadness were actually perceived. In conclusion, this study sheds light on the intriguing dynamics of how face masks affect children's emotion recognition, but also underlines the profound influence of their affective state.