Emotional Space Research Articles

ARMNet: A Network for Image Dimensional Emotion Prediction Based on Affective Region Extraction and Multi-Channel Fusion.

Compared with discrete emotion space, image emotion analysis based on dimensional emotion space can more accurately represent fine-grained emotion. Meanwhile, this high-precision representation of emotion requires dimensional emotion prediction methods to sense and capture emotional information in images as accurately and richly as possible. However, the existing methods mainly focus on emotion recognition by extracting the emotional regions where salient objects are located while ignoring the joint influence of objects and background on emotion. Furthermore, in the existing literature, when fusing multi-level features, no consideration has been given to the varying contributions of features from different levels to emotional analysis, which makes it difficult to distinguish valuable and useless features and cannot improve the utilization of effective features. This paper proposes an image emotion prediction network named ARMNet. In ARMNet, a unified affective region extraction method that integrates eye fixation detection and attention detection is proposed to enhance the combined influence of objects and backgrounds. Additionally, the multi-level features are fused with the consideration of their different contributions through an improved channel attention mechanism. In comparison to the existing methods, experiments conducted on the CGnA10766 dataset demonstrate that the performance of valence and arousal, as measured by Mean Squared Error (MSE), Mean Absolute Error (MAE), and Coefficient of Determination (R²), has improved by 4.74%, 3.53%, 3.62%, 1.93%, 6.29%, and 7.23%, respectively. Furthermore, the interpretability of the network is enhanced through the visualization of attention weights corresponding to emotional regions within the images.

Love is Glorious: The Analysis of Emotional Education Culture of Film “To Our Youth That Is Fading Away”

About the educational films, most of the existing studies in academia and culture are based on the construction of theoretical perspectives, or the discussion of the narrative content and the transformation of themes of a certain genre, but there is a lack of important educational issues based on the analysis of film texts. As a popular narrative genre of educational films in China since the beginning of this century, “youth narrative” has a wide range of communication audiences, but for the audience, there is a need for more in-depth discussion of its educational meaning. Therefore, it is necessary to select typical case of “youth film” in China, describe the emotional education in detail, and try to put forward the theoretical category of “emotional education culture”, to show that for teenagers, the complex, mutual, reverberative and dislocated relationship of emotional space poses a great challenge to education.

Music-induced emotion flow modeling by ENMI Network.

The relation between emotions and music is substantial because music as an art can evoke emotions. Music emotion recognition (MER) studies the emotions that music brings in the effort to map musical features to the affective dimensions. This study conceptualizes the mapping of music and emotion as a multivariate time series regression problem, with the aim of capturing the emotion flow in the Arousal-Valence emotional space. The Efficient Net-Music Informer (ENMI) Network was introduced to address this phenomenon. The ENMI was used to extract Mel-spectrogram features, complementing the time series data. Moreover, the Music Informer model was adopted to train on both time series music features and Mel-spectrogram features to predict emotional sequences. In our regression task, the model achieved a root mean square error (RMSE) of 0.0440 and 0.0352 in the arousal and valence dimensions, respectively, in the DEAM dataset. A comprehensive analysis of the effects of different hyperparameters tuning was conducted. Furthermore, different sequence lengths were predicted for the regression accuracy of the ENMI Network on three different datasets, namely the DEAM dataset, the Emomusic dataset, and the augmented Emomusic dataset. Additionally, a feature ablation on the Mel-spectrogram features and an analysis of the importance of the various musical features in the regression results were performed, establishing the effectiveness of the model presented herein.

Hostile Environments: Housing and Asylum Policies as Drivers of Energy Deprivation Among UK Refugee Communities

ABSTRACT Although refugees in the UK are highly susceptible to the triad of factors – low income, poor housing and high energy bills – that produce vulnerability to energy deprivation, literature on this issue is rare. We therefore propose a framework towards understanding the role of “non-energy” policies as drivers of energy deprivation among UK refugees, using the conceptual lenses of deservingness, welfare chauvinism and domicide to demonstrate how the condition has been deliberately produced under the UK government’s Hostile Environment approach. We argue that this approach not only damages the physical materiality of housing and the emotional space of home, but also deleteriously impacts upon refugees’ ability to access adequate energy services. Energy deprivation thus emerges as a hidden consequence of policies that normalize precarious housing, a denial of rights, and inadequate incomes, in which “home” becomes a site of exclusion that achieves the Hostile Environment’s goal – making everyday life unbearable.

The Analysis of the Film Triangle of Sadness from the Narrative Space

This thesis explores the use of narrative space in the black comedy film Triangle of Sadness, directed by Ruben stlund. The film reveals the hypocrisy between people and the struggles surrounding class inequality through contrasts and reversals. The thesis is based on the theory of spatial narrative and analyzes the film text through three categories of narrative space geographic space, emotional space, and metaphorical space. Geographic space is examined through the settings of the yacht and the island, reflecting modern civilization and nature. Emotional space is analyzed through intimate and confined environments that enhance the emotional tension between characters. Metaphorical space is illustrated through symbolic elements such as the octopus and the exchange of sexual capital, critiquing social and gender dynamics. In this film, spatial narrative effectively reveals and critiques issues of class inequality, using spatial construction to enhance the film s satirical impact.

어린이 놀이 학습 공간의 감성적 특성을 활용한 학원 공간 설계

The 4th Industrial Revolution and the pandemic are bringing about major changes in the educational environment. Amid the limitations of existing education methods, the rapid development of digital technology and the spread of non-face-to-face education require new methods to draw learners' participation and immersion. Play can be an alternative to the modern educational environment that provides opportunities to develop creativity, cooperation, social skills, and problem-solving skills. This study is a thesis that examines the meaning of play spaces in modern society and examines the design implementation process of learning spaces using emotional design components. To this end, it was conducted based on Maslow's theory of desire, Aaron Walter's theory of emotional design, and domestic prior studies on the components of emotional space. The proposed design is meaningful in creating an environment that naturally increases the motivation and outcome of learning and the restoration of bonds based on the pleasuable of children.

Between Representation and Reality: Zhao Chuan’s World Factory as Social Theatre

ABSTRACT Zhao Chuan’s play World Factory continuously introduces reality into the theatre by resorting to the creative techniques of documentary theatre, epic theatre, and theatre of the oppressed in left-wing theatre, thus constituting a blurred boundary between the reality and the representation, and also forming a mode of discussion of social issues in theatre. The tension between reality and representation allows Zhao Chuan’s theatrical production to be understood not only as aesthetic theatre but also as social theatre. With the help of sociological methods, Zhao Chuan’s social theatre creates a “theatrical public sphere,” and the reality of this sphere constitutes a Habermasian place of prudent and equal public opinion. At the same time, the representation of the theatrical public sphere creates the emotional space of physical presence. It imaginatively constructs another reality, and its representation quality can avoid the direct criticism of the reality, which makes the relatively free public sphere speech possible.

Choreographic leadership and audience mobilization as resistance: digital sex work after the Social Media Safety Act

Digital media platforms’ incessant deplatforming have encouraged sex workers across the globe to organize novel forms of resistance and (re)construct defensive identities, embracing and resisting the dominating forces of patriarchalism and sexual fetishization to affirm control over their labor, their bodies, and their place in society. Sex workers’ content and fostered digital environments function to condense their globally dispersed constituencies into a common subjectivity, forming counterpublics to move against the restrictive hierarchies of “dominant publics” and give voice to the forms of sexual and gendered identity silenced across mainstream media. To sustain resistance against relentless legislative precarity and corporate disavowal—most recently exemplified by the passing of the draconian Social Media Safety Act in the United States—sex workers use a uniquely digital form of choreography to mobilize their disparate audiences across mercurial media platforms, websites, and services, taking on the role of “soft leaders” or “choreographers” to foster a symbolic construction of emotional space in which their audiences may congregate regardless of the movements of moderation or deplatforming their expressions of individuality and sexuality may have to endure across (inter)national legislative contexts. This digital process of mobilization is a performative and sustained form of labor.

Exploring corpus-invariant emotional acoustic feature for cross-corpus speech emotion recognition

Unsupervised cross-corpus speech emotion recognition (SER) is the task where the labeled training (source) and unlabeled testing (target) speech come from different corpora. Subspace transfer learning is one of the mainstream technologies for tackling cross-corpus SER challenges, which is achieved by utilizing projection matrices to learn common corpus-invariant feature representations between the source and target corpus. However, these methods mainly focus on mapping modeling from the input low-level descriptor (LLD) feature space to the corpus-invariant emotional feature space, which is an implicit feature mapping process that lacks interpretability for the selected features. This omission leads to an inability to pinpoint which acoustic features possess corpus invariance. To bridge this gap, we first propose a new transfer subspace learning framework with feature selection capabilities, i.e., the Corpus-Invariant Emotional Acoustic Feature Seeker (CAFS). Specifically, the CAFS integrates two core terms into the transfer regression loss function: (1) the emotion preservation term: This term includes emotional regression and the l2,1 norm, which is mainly used to select features and ensure that these features are related to emotions. (2) the corpus invariance preservation term: This item is mainly used to measure the difference in feature distribution between the source and target corpora. Minimizing this term bridges the gap between the source and target domains, ensuring that the chosen acoustic features are corpus-invariant. Subsequently, we conducted extensive cross-corpus SER experiments to explore corpus-invariant emotional acoustic features under various commonly used acoustic feature sets (IS09 and eGeMAPS). Through statistical analysis of the acoustic features sought by the CAFS framework, some acoustic features (e.g., Mel-Frequency Cepstral Coefficients (MFCC) and Formant) reveal their corpus-invariant properties, which could provide insights for feature selection in cross-corpus SER. These findings also lay the groundwork for a solid theoretical and empirical foundation for future research and applications in cross-corpus SER.

Emotional living spaces – The significance of emotional spaces for dwelling and well-being

Emotional living spaces – The significance of emotional spaces for dwelling and well-being

Emotion analysis and recognition in 3D space using classifier-dependent feature selection in response to tactile enhanced audio–visual content using EEG

Traditional media such as text, images, audio, and video primarily target specific senses like vision and hearing. In contrast, multiple sensorial media aims to create immersive experiences by integrating additional sensory modalities such as touch, smell, and taste where applicable. Tactile enhanced audio–visual content leverages the sense of touch in addition to visual and auditory stimuli, aiming to create a more immersive and engaging interaction for users. Previously, tactile enhanced content has been explored in 2D emotional space (valence and arousal). In this paper, EEG data against tactile enhanced audio–visual content is labeled based on a self-assessment manikin scale in 3 dimensions i.e., valence, arousal, and dominance. Statistical significance (with a 95% confidence interval) is also established based on gathered scores, highlighting a significant difference in the arousal and dominance dimension of traditional media and tactile enhanced media. A new methodology is proposed using classifier-dependent feature selection approach to classify valence, arousal, and dominance states using three different classifiers. A highest accuracy of 75%, 73.8%, and 75% is achieved for classifying valence, arousal, and dominance states, respectively. The proposed scheme outperforms previous emotion recognition based studies in response to enhanced multimedia content in terms of accuracy, F-score, and other error parameters.

Reflections from members of a collaborative social work practitioner–academic research team investigating the career progression experiences of black social workers

This article shares the reflections of members of a collaborative practitioner–academic research team in social work. The team investigated the career progression experiences of black social workers working in statutory social work services in South-East London. Our intention in this article is to share our experience of researching a subject that holds emotional and political resonance. We do so by offering individual perspectives from different team members on how their project involvement affected them both personally and professionally. We also discuss some of the general themes identified in our reflections. These include practitioners growing in research confidence, the need to create a safe emotional space for stories of researcher discomfort and uncertainty to be heard, the effects of undertaking research on professional social work identity, and curiosity about whether our research endeavours can change social work career progression policies and practices for black social work colleagues. We caution that a safe emotional container is required when researching personally and professionally sensitive, subjects such as racism and discrimination in social work. We hope that our article inspires social work practitioners to become involved in research activities.

Features of representing emotions through color associations in a literary text (based on the novella “First Love” by Ivan Turgenev)

One of the most relevant trends that interests modern language science is the study of the way the inner world of humans is encoded in literary texts through various linguistic means. At the same time, the issues of specificity of using color designations as a means of conveying emotional information in Ivan Turgenev’s works remain incompletely studied.This work comprehensively analyzes the features of verbalizing the emotive space through lexemes with the semantics of color in Ivan Turgenev’s novella “First Love”. The research methods include contextual, semantic, linguistic-statistical, descriptive and psycholinguistic analyses.In the course of our research, we examined the occurrences of color lexemes along with their quantitative and frequency characteristics in Ivan Turgenev’s novella “First Love”. The article provides a classification of all identified words based on categorical-lexical themes and analyzes their specificity of associative emotive reinterpretation in the context.Color is a key element of visually perceived objects and phenomena, playing a crucial role in humans’ understanding of the surrounding world. In the context of Ivan Turgenev’s literary works, color lexemes both reflect the color characteristics of the objects and enable the writer to better reflect his worldview and emotional-psychological state. They imbue the text with figurative meanings and lend it emotional and evaluative coloration.

PERSPECTIVES OF EARLY CAREER SUPERVISORS ON NAVIGATING THE SOCIO-EMOTIONAL NEEDS OF THEIR DOCTORAL CANDIDATES

All supervisors of doctoral research aim at guiding their students towards success on their doctoral journeys. Desired characteristics of successfully guiding doctoral studies have been widely reported in relevant literature and gave rise to various models of exemplary supervisory practice. One area within the supervisory relationship that has received limited attention is the emotional aspect of supervisors’ role, their dispositional qualities of mind and character which are key factors in establishing an intellectual and emotional working rapport with candidates. This exploratory qualitative study sought to gain a deepened understanding of how supervisors address the socio-emotional needs of their students. A combination of online and in-person semistructured interviews with ten doctoral study supervisors, and thematic analysis of data, revealed that supervisors fully acknowledge the notion that interpersonal and emotional issues are key factors in the supervisory process. However, the way they see, and experience emotional factors differ. While some regard the supervisory process as an intellectual academic relationship, others regard supervision more as mentoring, allowing more space for selfexpression and emotions. The study’s findings carry implications for enhancing the training and support offered to doctoral supervisors and students enrolled in doctoral programmes, as well as identifying potential areas for improvement.

Olfactory EEG induced by odor: Used for food identification and pleasure analysis

As the need for food authenticity verification increases, sensory evaluation of food odors has become widely recognized. This study presents a theory based on electroencephalography (EEG) to create an Olfactory Perception Dimensional Space (EEG-OPDS), using feature engineering and ensemble learning to establish material and emotional spaces based on odor perception and pleasure. The study examines the intrinsic connection between these two spaces and explores the mechanisms of integration and differentiation in constructing the OPDS. This method effectively visualizes various types of food odors while identifying their perceptual intensity and pleasantness. The average classification accuracy for odor recognition in an eight-category experiment is 96.1%. Conversely, the average classification accuracy for sensory pleasantness recognition in a two-category experiment is 98.8%. The theoretical approach proposed in this study, based on olfactory EEG signals to construct an OPDS, captures the subtle perceptual differences and individualized pleasantness responses to food odors.

The Aesthetic Matrix: A Conversation Between a Painter and a Psychoanalyst

ABSTRACT In this paper I show my painting process. That is, how I arrange my emotional and physical space together with my medium to allow a receptive and responsive experience of painting. I describe how my use of color allowed me to access previously unavailable aspects of my psychoanalytic work with a patient. Through showing as closely as possible my process as a painter, I hope that the reader will find resonance to their psychoanalytic work.

Supervision as a Dispersed Practice: Exploring the Creation of Supervisory Spaces in Day‐to‐Day Social Work Practice

ABSTRACTSupervision is integral to social work practice; however, how it operates in day‐to‐day practice remains poorly understood. Existing research mainly comprises quantitative and qualitative accounts of social workers' and supervisors' experiences of supervision. More recently, a small number of studies examining the content of supervision have added to our understanding of what happens in supervision. However, supervisory interactions outside formal supervision have received scant empirical attention. This paper draws on an ethnographic study of four social work teams in England, exploring how formal and informal case discussion supports social workers' sensemaking. Data comprised observations of case talk in the office space (n = 21) and group case discussions (n = 2), recordings of one‐to‐one supervision (n = 17) and semi‐structured interviews (n = 22). Findings highlighted the importance of space in how social workers perceived and engaged with supervision. Supervisory spaces involve the interaction of physical, thinking and emotional spaces to create spaces that are supportive, task‐focused and reflective. Moreover, these supervisory spaces are not confined to formal one‐to‐one supervision or to the dyadic supervisor–supervisee relationship. This raises questions for how child protection social workers can be best supported, across diverse supervisory spaces and relationships, to ensure their practice is effective.

Future-making through eventing human-machine listening

Reverb-Resonate: Sounding the Affective Frequencies of Migration operates at the intersection of art, science, and technology to articulate an emotional landscape of migration and exile. Rooted in the methodology of research-creation (RC) and grounded in the interdisciplinary field of Art, Science, and Technology Studies (ASTS), the project transcends conventional disciplinary boundaries to offer speculative possibilities through human-machine listening. Drawing on the body is an already augmented site, the project makes audible physiological sensors that capture micro-level intricacies responsible for stress regulation. Listening, is, thus, foregrounded as the core public engagement strategy, creating a layered sound collage that interweaves somatic registers of recorded breathing samples and physiological sensor values with machine listening to recreate new forms of sound. Engagement with ASTS is, hence, in the form of a method that traverses transforming sensor application, generating technicized sound and composing an acoustic experience capable of affective engagement. Through machine learning—a subfield of artificial intelligence—the notion of ‘machine listening’ extends beyond human hearing limitations, introducing non-normative structures to challenge and expand habitual forms of human listening. Reverb-Resonate, hence, leverages artistic strategies and techno-augmentations to address the crisis of imagination that hinders opening up to realities far from the familiar and the personal to imagine ‘what could be’ as a way of future-making. It underscores the critical edge of RC and ASTS in addressing complex critical issues, proposing a speculative space where the human-machine hybrid puts forth a socio-technical assemblage of listening to understand 'otherly' experiences. The project, thus, advances a critical inquiry into the mediation and augmentation of listening to imagine new possibilities for embodied engagement with unfamiliar emotional spaces and experiences.

The feeling of exclusion and/or inclusion in shared places: Syrian students' emotions and social imaginations in Istanbul

This article examines the dynamic relationship between the creation of place and the formation of identity, specifically focusing on how Syrian young people are either included or excluded in Istanbul. This dynamic process enables the students to engage in placemaking. The majority of the literature primarily centres on the potential for inclusion or exclusion within the context of migration. Nevertheless, I maintain my view that the dynamics between insiders and outsiders are closely interconnected in discourses about space. In this regard, it is worth exploring how the concept of Thirdspace enables the coexistence of both inclusion and exclusion within the same spatial context. Based on ethnographic observations, virtual ethnographies, and semi-structured interviews conducted with 30 Syrian students, I employ the notions of “social imaginary” and “emotional space” to demonstrate the coexistence of contrasting elements inside a shared location. While I utilised a framework that integrated geographical and sociological perspectives for my study, the unique aspect of this research lies in its adoption of the socio-spatiality approach, setting it apart from prior studies. While this approach opens space to the possibility of the simultaneous exclusionary and inclusionary functions of the spaces, the translocational positionality of the migrant groups fosters these contradictory interactions in the shared spaces. Gender differences and ethnicity (being Syrian) produce exclusionary functions, whereas being a student and Muslim increases integration into Turkish society. In addition to interactions within local relationships and transnational connections through religious communities, NGOs, and friend groups, these students not only resolve the tension between the past and present but also open the door to integration and bridge the future in the face of inequalities. In particular, women students solve the tension between cultural codes and their student identity with the possibility of transnational networks.

Cross-Cultural Validation of the International Affective Picture System (IAPS) on a Moroccan Sample

The International Affective Picture System (IAPS) is a database of unified images used to study emotion and attention. This study aims to investigate the reliability and validity of these images to arouse the emotions of Moroccans.123 Moroccan students (75 female, age group:18-51) belonging to the Department of Psychology at Sidi Mohamed Ben Abdellah University, rated valence, arousal, and dominance for 238 stratified representative samples from IAPS images, using the self-assessment manikin (SAM). The reliability values showed significant internal consistency in the participants' evaluations.The results of the comparisonbetween the evaluations of our sample and the North American sample showed a significant correlation (.94 for valence, .75 for dominance, and .70 for arousal), which indicates that the evaluations of the two samples are similar. Moreover, the distribution of images in the emotional space of pleasure and excitement was embodied as boomerang-shaped as was the case in the American sample, with there being more clarity in our sample.These results confirm the validity of using IAPS images to arouse the emotions of Moroccans.