Emotional Activity Research Articles

Exploring the health challenges of affected people in the 2023 Khoy earthquake: a content analysis

BackgroundAn earthquake has significant effects on health and livelihood of people. It is important to identify health needs and challenges of earthquake victims and use them to prepare for other possible earthquakes. Therefore, the purpose of this study is to explain the challenges and health needs of earthquake victims in Iran.MethodsThis was a qualitative study with 25 participation who were affected by the earthquake in Khoy City, and were selected using purposive sampling by snowball method technique in 2023. The study data was collected through open and semi-structured interviews. To analyze the data, the conventional content analysis with an inductive approach was used.ResultsThe results show two main categories. The main categories “Management as a missing link in unexpected events” includes 9 subcategories: “The challenge of access to emergency resources and health facilities”, “Feeling of abandonment in medical personnel”, “Weakness in the structural safety and infrastructure of the health system”, “Logistical challenges”, “Risk management training”, “Crisis response management challenges”, “Weakness in the intelligent relief system”, “Management of secondary incidents”, and “Need to provide medical services and disease prevention”. Also, the main categories “Emotional actions of people in crisis” consist of 5 subcategories: “Overexcitement”, “Psychological vulnerability of children”, “Physical complaints caused by stress”, “Confusion caused by the lack of reliable information sources” and “Negative effects of living together with several families”.ConclusionTo help deal with threats and other challenges in the earthquake crisis, countries should try to improve their capacity to manage natural disasters.

Dual-level adaptive incongruity-enhanced model for multimodal sarcasm detection

Multimodal sarcasm detection leverages multimodal information, such as image, text, etc. to identify special instances whose superficial emotional expression is contrary to the actual emotion. Existing methods primarily focused on the incongruity between text and image information for sarcasm detection. Existing sarcasm methods in which the tendency of image encoders to encode similar images into similar vectors, and the introduction of noise in graph-level feature extraction due to negative correlations caused by the accumulation of GAT layers and the lack of representations for non-neighboring nodes. To address these limitations, we propose a Dual-Level Adaptive Incongruity-Enhanced Model (DAIE) to extract the incongruity between the text and image at both token and graph levels. At the token level, we bolster token-level contrastive learning with patch-based reconstructed image to capture common and specific features of images, thereby amplifying incongruities between text and images. At the graph level, we introduce adaptive graph contrast learning, coupled with negative pair similarity weights, to refine the feature representation of the model’s textual and visual graph nodes, while also enhancing the information exchange among neighboring nodes. We conduct experiments using a publicly available sarcasm detection dataset. The results demonstrate the effectiveness of our method, outperforming several state-of-the-art approaches by 3.33% and 4.34% on accuracy and F1 score, respectively.

THE VERBALIZATION OF EMOTIONS IN ENGLISH PHRASEOLOGICAL UNITS

The article is devoted to the study of emotive phraseological units of the modern English language, which reveal universal properties of human language ability, culturally determined differences in its organization and functioning, reflection in language of correlations between emotions and the psychophysiological state of the human body. The article analyzes the peculiarities of the semantics of emotive phraseological units, defines the somatic component in the composition of phraseological units that denote human emotions. Various models of negative and positive emotional actions, which are objectified in phraseological units, are identified, verbal and non-verbal means of expressing emotions in phraseological units are considered. The results of the semantic analysis are given, which testify to the universality and reveal the specific features of the verbalization of emotions in the English-speaking culture. The research material contains English idioms denoting negative and positive human emotions, selected by the method of continuous sampling from monolingual English dictionaries.

Would you? Effects of oxytocin on moral choices in forensic psychopathic patients

Psychopaths are suggested to be more likely to favor utilitarian outcomes over non-utilitarian (i.e., deontological) choices. Here we re-test this hypothesis and investigate whether oxytocin, a hormone associated with empathy, can counter this utilitarian effect. Forensic psychopathic patients and non-psychopathic controls participated in a sacrificial moral decision-making paradigm. Psychopathic patients performed the task in a double-blind cross-over placebo-controlled oxytocin administration paradigm. We found no evidence for psychopathic patients to act more utilitarian (or sacrificial) or any effect of oxytocin administration. Psychopathic traits within the control group, particularly traits associated with lack of empathy and failure to consider consequences, were however associated with more utilitarian choices, but only when these actions were low in emotion. In contrast, psychopathy severity in psychopathic patients, particularly impulsivity-related traits, predicts deontological choices, but only in highly emotional actions. Thus, although psychopathic traits do predict utilitarianism when emotional investment is low, this is not the case in full-blown psychopathy. Instead, there is a link between impulsivity and deontological choices in psychopathic patients, but only when emotional investment is high, and self-interest is not at stake. These preliminary results are discussed to whether utilitarian outcomes align with the personal goals of psychopathic individuals.

Proud to Be Dishonest: Emotional Consequences of Altruistic Versus Egoistic Dishonesty

ABSTRACTWe explore and demonstrate the anticipated and actual emotions that are experienced by individuals who engage in dishonest behaviors that benefit others (altruistic dishonesty) versus the self (egoistic dishonesty), and primarily focus on the positive emotion of pride. Across three preregistered experiments (one scenario experiment and two incentivized behavioral ones), we found that engaging in altruistic dishonesty was not only more prevalent than egoistic dishonesty but also evoked more pride and less guilt and shame. Interestingly, the increase in pride and decrease in guilt and shame when cheating solely for the benefit of others were attenuated when participants cheated for the benefit of both others and themselves. These findings shed further light on the emotional processes involved in dishonesty and highlight the understudied role of pride. The positive association between engaging in altruistic dishonesty and pride may explain the relatively high rates of altruistic dishonesty observed in the current and previous studies, as it suggests that having an altruistic justification may not only enable cheaters to maintain a clear conscience but also even boost how they feel about themselves.

SSER: Semi-Supervised Emotion Recognition based on Triplet Loss and pseudo label

Recently, emotion recognition from facial expressions has achieved unprecedented accuracy with the development of deep learning. Despite this progress, most existing emotion recognition methods are supervised and thus require extensive annotation. This issue is particularly pronounced in continuous domain datasets where annotation costs are very high. Furthermore, discrete domain datasets containing specific poses are too uniform to reflect complex and actual emotions. Existing methods that employ classification loss pay little attention to image similarity, making it difficult to distinguish similar emotions. To improve the learning ability for image similarity and reduce the annotation cost of continuous domain datasets, this research proposes a Semi-Supervised Emotion Recognition (SSER) method, which incorporates Activation-matrix Triplet loss (AMT loss) and pseudo label with Complementary Information (CI label). Specifically, the AMT loss is constructed by encoding multiple activation channels of an image as a matrix, which are utilized to capture the image similarity. The CI label firstly adopts the coupling effect of the complementary information from images and the multi-stage model for SSL to obtain high-confidence pseudo-labels. Then, entropy minimization and consistency regularization are used to improve the accuracy of pseudo labels. The SSER is evaluated on continuous domain datasets (AFEW-VA and AFF-Wild) and discrete domain datasets (FER2013 and CK+). The experimental results demonstrate that the SSER combined with AMT loss and CI label makes improvement for emotion recognition on continuous domain datasets, meanwhile the SSER is also desirable and effective for emotion recognition on discrete domain datasets.

Agreeableness modulates mental state decoding: Electrophysiological evidence.

Agreeableness is one of the five personality traits which is associated with theory of mind (ToM) abilities. One of the critical processes involved in ToM is the decoding of emotional cues. In the present study, we investigated whether this process is modulated by agreeableness using electroencephalography (EEG) while taking into account task complexity and sex differences that are expected to moderate the relationship between emotional decoding and agreeableness. This approach allowed us to identify at which stage of the neural processing agreeableness kicks in, in order to distinguish the impact on early, perceptual processes from slower, inferential processing. Two tasks were employed and submitted to 62 participants during EEG recording: the reading the mind in the eyes (RME) task, requiring the decoding of complex mental states from eye expressions, and the biological (e)motion task, involving the perception of basic emotional actions through point-light body stimuli. Event-related potential (ERP) results showed a significant correlation between agreeableness and the contrast for emotional and non-emotional trials in a late time window only during the RME task. Specifically, higher levels of agreeableness were associated with a deeper neural processing of emotional versus non-emotional trials within the whole and male samples. In contrast, the modulation in females was negligible. The source analysis highlighted that this ERP-agreeableness association engages the ventromedial prefrontal cortex. Our findings expand previous research on personality and social processing and confirm that sex modulates this relationship.

Impact of emotions on the behavioral strategies of PPP project stakeholders: an RDEU evolutionary game analysis

PurposeEmotions, understood as evolving mental states, are pivotal in shaping individuals“' decision-making, especially in ambiguous information evaluation, probability estimation of events, and causality analysis. Public–private partnership (PPP) projects represent a confluence of “economic–environmental–social” dimensions, wherein stakeholder behavior follows the sequential progression of “cognition–emotion–action.” Consequently, comprehending the effects of emotional shifts on stakeholder's decision-making processes is vital to fostering the sustainability of PPP projects.Design/methodology/approachThe paper utilizes rank-dependent expected utility and evolutionary game theory to systematically examine the influence of emotional factors on stakeholders' behavior and decision-making processes within PPP projects. The paper integrates three emotional state functions—optimism, pessimism and rationality—into the PPP framework, highlighting the intricate interactions among the government, private sector, surrounding public and the media. Furthermore, the paper amalgamates the evolutionary pathways of environmental rights incidents with the media's role. Through equilibrium analysis and numerical simulation, the paper delves into the diverse interplay of emotions across different phases of the environmental rights incident, assessing the impact of these emotions on the evolutionary game's equilibrium results.FindingsEmotions significantly influence the microlevel decisions of PPP stakeholders, adapting continually based on event dynamics and media influences. When the private sector demonstrates optimism and the surrounding public leans toward rationality or pessimism, the likelihood of the private sector engaging in speculative behavior escalates, while the surrounding public refrains from adopting a supervisory strategy. Conversely, when the private sector is pessimistic and the public is optimistic, the system fails to evolve a stable strategy. However, when government regulation intensifies, the private sector opts for a nonspeculative strategy, and the surrounding public adopts a supervisory strategy. Under these conditions, the system attains a relatively optimal state of equilibrium.Originality/valueThe paper develops a game model to examine the evolutionary dynamics between the surrounding public and private sectors concerning environmental rights protection in waste incineration PPP projects. It illuminates the nature of the conflicting interests among project participants, delves into the impact of emotional factors on their decision-making processes and offers crucial perspectives for the governance of such partnerships. Furthermore, this paper provides substantive recommendations for emotional oversight to enhance governance efficacy.

K-12 trade books’ representation of earthquake safety and protective actions: A content analysis

Meaningful learning resources for earthquake safety and survival have become an increasingly important topic among geoscientists, especially educators and researchers. Various members of the public, especially K-12 (ages 5–18) learners, continue to depend on scientific trade books available at their local public and school libraries for information about earthquake concepts. To our knowledge, no research has empirically examined how trade books represent earthquake safety and survival actions. In this research, we combine an iterative qualitative inductive and deductive analysis to explore the representation of earthquake safety and protective actions in 50 trade books. We categorize these actions into time-based practices related to preparedness before an earthquake, protective actions during an earthquake, and recovery after an earthquake. These trade books emphasize preparedness by means of building earthquake-resistant structures and urban planning, and efforts toward community resilience and keeping home supplies. The recommended personal protective action during an earthquake in the United States (“Drop, Cover, and Hold On”) is emphasized in the majority of the trade books, as well as other protective actions related to emotional actions and current technological automated actions such as earthquake early warning systems. Finally, the books highlight actions such as damage evaluation and support as ways to recover after an earthquake. Our findings highlight the issues between accepted earthquake safety and survival actions and the limited and/or inaccurate knowledge represented in some trade books. We provide interpretations of how presentation of limited or inaccurate information may increase confusion about appropriate protective actions. The inclusion of accepted and recommended protective actions in future trade books and the use of earthquake drills in public libraries as a supplement for trade book users may improve understanding and implementation of appropriate actions. We further demonstrate the potential of trade book contents in fostering earthquake education through library-community partnerships.

“Emotions are what will draw people in”: A study of critical affective literacy through digital storytelling

AbstractThis study explores the implications of critical affective literacy through digital storytelling projects produced by first‐year college writing students. The goal was to examine college students' affective and emotional responses to social justice issues, such as racial profiling, educational inequality, and animal protection, through the lens of digital storytelling. Pairing multimodal pedagogy with critical affective literacy, this study was carried out in two first‐year writing courses in the United States. The researcher who conducted this study also taught the class sessions. Employing the methodology of a qualitative case study, the author gathered information through conducting semi‐structured interviews with 11 students, observing the students' multimodal composition processes, and reviewing the students' digital storytelling videos. The analysis of the data showed that the participants performed critical emotional action when creating digital stories to draw the public's attention to social justice issues. This paper recommends that educators incorporate digital storytelling into social justice pedagogy and cultivate learners' critical affective literacy.

When your supporters become your opponents: Exploring the unintended effects of parodies on social media engagement

AbstractUsing parodies to mock politicians' personal flaws is a prevalent practice and represents an important threat to their brand image and reputation. However, the ability of parodies based on personal attacks to create positive social media engagement from the parodist's point of view is still unexplored. This study contributes to the attribution–emotion–action theory by exposing the unintended effects of parodies on social media engagement. We began with a content analysis of 331 parodies of political figures posted on YouTube from 2012 to 2019. Then, by using both a machine‐learning‐based analysis of 31,300 comments on those parodies and an experiment, we compared the effectiveness of two types of parodies based on personal attacks, depending on the type of stigma depicted: controllable versus uncontrollable. Our findings are paradoxical. Compared to parodies based on controllable personal stigmas, parodies of uncontrollable stigmas foster less supportive social media engagement toward the parodist and his/her parody (i.e., likes, shares), especially among individuals who were originally detractors and opponents of the parodied politician. Those effects are mediated by the role of moral‐condemning emotions expressing the inappropriateness of the topic selected by the parodist. Henceforth, it is advisable for parodists to refrain from incorporating representations of an uncontrollable stigma into their spoof creations, as such actions may imperil the levels of engagement exhibited by their audience, encompassing both their reception of the parodies and their perception of the parodists themselves.

THE CONCEPT OF UTILITARIANISM IN THE SHORT STORY “THE ONES WHO WALK AWAY FROM OMELAS” IN “THE WIND'S TWELVE QUARTERS” BY URSULA KROEBER LE GUIN

This study examines the concept of utilitarianism presented in the short story "The Ones Who Walk Away from Omelas" in "The Wind's Twelve Quarter" by Ursula K. Le Guin. Through an ethical approach in sociology literature, this study aims to analyze the ethical implications of collective action in achieving general happiness in Omelas. Through analysis of the sociology of literature, this study reveals the social practices of utilitarianism presented in the story. In utilitarianism through ethical theory developed by philosophers Jeremy Bentham and John Stuart Mill, argues that a good action is an action that produces as much happiness as possible for as many people as possible. In the context of this short story, society has collectively chosen to maintain general happiness by ignoring the fate of the oppressed individual. This raises deep ethical questions about the justice and morality of emotional action. This study also analyzes the attitudes of individuals who choose to leave Omelas. This action shows disapproval of the principle of utilitarianism which sacrifices one individual for the sake of broad happiness. The attitude of individuals who dare to walk raises ethical overtones about our responsibilities to society and individuals. Through an analysis of ethical theory in a literary sociology approach, this study concludes that "The Ones Who Walk Away from Omelas" pushes to limit the ethical boundaries of utilitarianism and change moral compromises in achieving peace. The social and psychological implications of this story awaken our awareness of the moral dilemmas associated with emotional action and raise deep ethical questions about human values ​​and justice.
 Keywords: Utilitarianism, Sociology of Literature, Ethics

Research on the impact of audience behavior based on emotional orientation effect of public service advertising

Purpose: This study analyzes the changes in feelings, attitudes, and behaviors of the audience after watching the Public Service Advertisements (PSA) and better evaluates which emotions are more acceptable to the audience of the PSA.
 Design/Methodology/Approach: In this study, 217 audiences from Eastern and Western nations were chosen to witness the effects of several emotionally intense Public Services Advertisements and gather data to assess the shifts in opinion and behavioural influences.
 Findings: Based on the results of the study, it can be shown that many social groups exhibit favorable responses to Public Services Advertisements (PSA) in terms of emotional effect perception, namely in relation to fear, comedy, and compassion. These findings indicate a generally good trend across all levels of analysis. Differences in audience attitudes and behavioural changes brought on by various levels of perception of advertising impact emerge under the influence of background circumstances.
 Conclusion: The emotional orientation have a favorable impact on the attitude and conduct of the audience, serving as a source of motivation, induction, and guidance.
 Research Limitations/Implications: This paper analyzes audience cognitive and behavioral research from only the emotion-oriented effect, and the actual emotion is inextricably linked with emotions and psychology. Some of the parts that have not yet been covered will be further studied in the future when conditions permit.
 Practical Implications: It can help trigger the audience's emotional cognition, form long-term attention to public welfare information, and improve the possibility of changing the behavior of the public.
 Contribution to Literature: This study provides a research framework for the impact of the PSA effect on audience behavior and paves the way for later emotional effect research and design strategies.

Emotional actions: A new approach

AbstractThe recent philosophical literature on emotional action is divided between Humeans, who think that emotional action, for all its peculiarities, can in fact be explained along Humean lines, that is, with belief–desire pairs; and emotionists, who think that emotional actions can only be explained by appealing to emotions and some of their special features. After reviewing this philosophical discussion, I will argue, first, that none of the philosophical accounts of emotional action analysed, whether Humean or emotionist, is satisfactory enough. Second, I will argue that this philosophical debate has reached a stalemate, which does not allow further progress and which has not been able to provide us with a compelling account of such emotional actions where it is not obvious which is the goal involved. Third, I will argue that in order to overcome this stalemate, we need to approach emotional action in a radically different way. Drawing on ideas from some psychologists, I will suggest that the relevant philosophical issue should be whether emotional action is, or is not, goal‐directed. Finally, I will suggest how emotional actions, particularly the most puzzling ones, can be accounted for according to this new approach.

Anxious individuals shift emotion control from lateral frontal pole to dorsolateral prefrontal cortex

Anxious individuals consistently fail in controlling emotional behavior, leading to excessive avoidance, a trait that prevents learning through exposure. Although the origin of this failure is unclear, one candidate system involves control of emotional actions, coordinated through lateral frontopolar cortex (FPl) via amygdala and sensorimotor connections. Using structural, functional, and neurochemical evidence, we show how FPl-based emotional action control fails in highly-anxious individuals. Their FPl is overexcitable, as indexed by GABA/glutamate ratio at rest, and receives stronger amygdalofugal projections than non-anxious male participants. Yet, high-anxious individuals fail to recruit FPl during emotional action control, relying instead on dorsolateral and medial prefrontal areas. This functional anatomical shift is proportional to FPl excitability and amygdalofugal projections strength. The findings characterize circuit-level vulnerabilities in anxious individuals, showing that even mild emotional challenges can saturate FPl neural range, leading to a neural bottleneck in the control of emotional action tendencies.

The Dysfunctional Mechanisms Throwing Tics: Structural and Functional Changes in Tourette Syndrome.

Tourette Syndrome (TS) is a high-incidence multifactorial neuropsychiatric disorder characterized by motor and vocal tics co-occurring with several diverse comorbidities, including obsessive-compulsive disorder and attention-deficit hyperactivity disorder. The origin of TS is multifactorial, with strong genetic, perinatal, and immunological influences. Although almost all neurotransmettitorial systems have been implicated in TS pathophysiology, a comprehensive neurophysiological model explaining the dynamics of expression and inhibition of tics is still lacking. The genesis and maintenance of motor and non-motor aspects of TS are thought to arise from functional and/or structural modifications of the basal ganglia and related circuitry. This complex wiring involves several cortical and subcortical structures whose concerted activity controls the selection of the most appropriate reflexive and habitual motor, cognitive and emotional actions. Importantly, striatal circuits exhibit bidirectional forms of synaptic plasticity that differ in many respects from hippocampal and neocortical plasticity, including sensitivity to metaplastic molecules such as dopamine. Here, we review the available evidence about structural and functional anomalies in neural circuits which have been found in TS patients. Finally, considering what is known in the field of striatal plasticity, we discuss the role of exuberant plasticity in TS, including the prospect of future pharmacological and neuromodulation avenues.

Study of the impact of cognitive biases on the process of managerial decision-making in the educational sphere

Study of the impact of cognitive biases on the process of managerial decision-making in the educational sphere

Tomeito or Tomahto: Exploring consumer's accent and their engagement with artificially intelligent interactive voice assistants

AbstractArtificially intelligent interactive voice assistants (AIIVAs) are developed to understand language, but there is limited insight into their ability to understand accents. While there have been substantial advancements in understanding multiple languages by AIIVAs, having an understanding of variety of accents is an emerging concern. To address these concerns, we contextualised our study in India, one of the world's most populated and diverse countries with varying accents and dialects. Study 1 collected qualitative data through semi structured interviews with participants, data was subsequently thematically analysed, and a typology was developed with respect to the context of use and consumers' emotional and rational reactions towards AIIVAs when interacting with accents. For Study 2, we implemented the quantitative research method. This was done to reiterate the conceptual model formulated from the qualitative research findings. Findings suggest that positive emotional action has emerged as the most significant factor, followed by rational action and negative emotional action. This study contributes significantly to the theoretical understanding of future consumer behaviour and human‐computer interaction trends. It provides practical implications for managers, tech developers, and other companies working and using speech‐to‐text automatic speech recognition to know that while they train their algorithms with languages, they should be mindful of the diverse accents of their consumers.

Sentiment Analysis on Social Media with Glove Using Combination CNN and RoBERTa

Twitter is a popular social media platform that allows users to share short message’s opinion and engage in real-time conversations on a wide range of topics known as tweet. However, tweets often have a complicated and unclear context, which makes it difficult to determine the actual emotion. Therefore, sentiment analysis is required to see the tendency of an opinion, whether the opinion tends to be positive, negative, or neutral. Researchers or institutions can find out how the response and emotions of an issue are happening and make good decisions. With the large user of Twitter social media in Indonesia, sentiment analysis will be carried out using deep learning Convolutional Neural Network (CNN), Term Frequency-Inverse Document Frequency (TF-IDF), Robustly Optimized BERT Pretraining Approach (RoBERTa), Synthetic Minority Over-sampling Technique (SMOTE), and Global Vector (Glove). In this research, the dataset used is trending topics with hashtags related to government policies on Twitter social media and obtained through crawling. By using 30.811 data, the result shows the highest accuracy of 95.56% using CNN with a split ratio of 90:10, baseline unigram, RoBERTa, SMOTE, and Top10 corpus tweet with an increase 10.1%.

A 5-emotions stimuli set for emotion perception research with full-body dance movements

Ekman famously contended that there are different channels of emotional expression (face, voice, body), and that emotion recognition ability confers an adaptive advantage to the individual. Yet, still today, much emotion perception research is focussed on emotion recognition from the face, and few validated emotionally expressive full-body stimuli sets are available. Based on research on emotional speech perception, we created a new, highly controlled full-body stimuli set. We used the same-sequence approach, and not emotional actions (e.g., jumping of joy, recoiling in fear): One professional dancer danced 30 sequences of (dance) movements five times each, expressing joy, anger, fear, sadness or a neutral state, one at each repetition. We outline the creation of a total of 150, 6-s-long such video stimuli, that show the dancer as a white silhouette on a black background. Ratings from 90 participants (emotion recognition, aesthetic judgment) showed that intended emotion was recognized above chance (chance: 20%; joy: 45%, anger: 48%, fear: 37%, sadness: 50%, neutral state: 51%), and that aesthetic judgment was sensitive to the intended emotion (beauty ratings: joy > anger > fear > neutral state, and sad > fear > neutral state). The stimuli set, normative values and code are available for download.