Search Results (47)

Grounded in the circumplex model, this study examined how need-thwarting teaching styles, control and chaos, are combined by Physical Education teachers (as perceived by students) and how these combinations differ in relation to students’ basic psychological needs and motivational outcomes within (experiences and perceived learning) and outside (intention to be physically active) the Physical Education context. A total of 431 Spanish secondary school students (M_age = 14.92; 53% girls) participated. Latent profile analysis identified three profiles: (1) high control—moderate chaos (35%), (2) moderate control—high chaos (9%), and (3) high demanding—low chaos (56%). Mean comparisons revealed that students in the “high demanding—low chaos” profile reported the most adaptive outcomes, including greater autonomy and competence satisfaction, more positive Physical Education experiences, higher perceived learning, and stronger intentions to be physically active. Conversely, the “moderate control—high chaos” profile was linked to the most maladaptive outcomes, characterized by greater basic psychological needs frustration and poorer experiences, learning, and physical activity intentions. The “high control—moderate chaos” profile yielded intermediate results. Overall, findings indicate that chaotic teaching, especially in its abandoning form, was associated with the worst quality of students’ motivation, while a demanding approach may be comparatively less harmful but still detrimental. Teacher training should therefore reduce controlling and chaotic practices and foster autonomy support and structure. Full article

Real-time emotion monitoring is increasingly relevant in healthcare, automotive, and workplace applications, where adaptive systems can enhance user experience and well-being. This study investigates the feasibility of classifying emotions along the valence–arousal dimensions of the Circumplex Model of Affect using EEG signals acquired from a single mastoid channel positioned near the ear. Twenty-four participants viewed emotion-eliciting videos and self-reported their affective states using the Self-Assessment Manikin. EEG data were recorded with an OpenBCI Cyton board and both spectral and temporal features (including power in multiple frequency bands and entropy-based complexity measures) were extracted from the single ear-channel. A dual analytical framework was adopted: classical statistical analyses (ANOVA, Mann–Whitney U) and artificial neural networks combined with explainable AI methods (Gradient × Input, Integrated Gradients) were used to identify features associated with valence and arousal. Results confirmed the physiological validity of single-channel ear-EEG, and showed that absolute $\beta$- and $\gamma$-band power, spectral ratios, and entropy-based metrics consistently contributed to emotion classification. Overall, the findings demonstrate that reliable and interpretable affective information can be extracted from minimal EEG configurations, supporting their potential for wearable, real-world emotion monitoring. Nonetheless, practical considerations—such as long-term comfort, stability, and wearability of ear-EEG devices—remain important challenges and motivate future research on sustained use in naturalistic environments. Full article

This study investigates the influence of three biophilic interior design variables: natural light, interior vegetation (vertical green wall), and biomorphic form (biomorphic wall panel) on affective and physiological responses in a design studio interior utilizing immersive virtual reality (IVR) and wearable biofeedback technology. This study was a within-participant 2³ factorial design that included one baseline and eight IVR studio conditions. Participants experienced all conditions while reporting affects using the Self-Assessment Manikin (SAM) valence and arousal scales, electrodermal activity (EDA), and skin temperature (ST). Cybersickness was measured with the Simulator Sickness Questionnaire (SSQ) and presence was assessed using the Igroup Presence Questionnaire and Slater-Usoh-Steed presence measures (IPQ, SUS), while baseline anxiety (STAI) was controlled. The results demonstrated a significant primary influence of natural light on SAM valence ratings: conditions with natural light were evaluated as more pleasant than the non-variable and baseline condition, whereas interior vegetation and biomorphic form had smaller, context-dependent effects that were most evident when layered with natural light. Differences in SAM arousal ratings were modest and non-systematic. EDA did not differentiate, and ST showed only small shifts, indicating that during calm exploratory monitoring, subjective affect was more responsive. The circumplex findings guided to an activity-specific zoned interior rather than a single uniform design studio. Full article

This study aimed to examine the effects of a basketball teaching unit based on the Sport Education Model on students’ meaningful experiences in Physical Education and their perceptions of (de)motivating teaching approaches used by their Physical Education teachers. A total of 102 secondary school students (49 girls; M_age = 13.66, SD = 0.72) participated in a pre-experimental, single group pretest-posttest design. Students completed the Meaningful Physical Education Scale and the Situation-in-School-Physical Education questionnaire before and after an eight-session intervention implemented by a pre-service teacher. Data were analyzed using mixed 2 (Time: pre, post) × 2 (Sex: male, female) MANOVAs and follow-up ANOVAs. The multivariate analyses revealed no significant overall Time × Sex interaction effects for either meaningful PE dimensions or (de)motivating teaching approaches. At the univariate level, significant improvements were observed in social interaction and challenge dimensions of meaningful PE, along with increased perceptions of autonomy-supportive and structuring teaching approaches and reduced controlling and awaiting approaches. However, univariate analyses showed specific sex-related differences: boys reported greater improvements in fun, challenge, and personally relevant learning, whereas girls perceived their teacher as displaying more clarifying behaviors. These findings suggest that the Sport Education Model fosters meaningful and motivating learning environments for both sexes, though the nature of these improvements may vary slightly between boys and girls. Full article

Despite growing awareness of the emotional challenges faced by engineering students and their impact on academic performance and retention, the field lacks validated tools to systematically assess affective states in theoretically grounded ways. First-year students are particularly vulnerable during the transition to university-level engineering education, experiencing stress, anxiety, and disengagement that contribute to attrition. This study aimed to develop and validate a psychometrically sound scale based on Russell’s Circumplex Model of Affect to assess first-year engineering students’ emotional experiences and provide educators with a theoretically grounded assessment instrument. A 12-item circumplex-based affective-state scale was administered to 176 first-year engineering students. Validation combined exploratory factor analysis on raw and ipsatized data, Procrustes alignment to check how closely the items formed a circle, and structural summary modeling to test circumplex geometry. Internal consistency was assessed using Cronbach’s α and McDonald’s ω. Exploratory factor analysis confirmed a robust two-dimensional Valence × Arousal structure explaining 51% of total variance. Procrustes rotation yielded excellent item-level congruence coefficients (0.929–1.000), while Structural Summary Modeling revealed strong sinusoidal patterns (R² = 0.94), indicating a near-circular configuration consistent with circumplex theory. Internal consistency was high across both dimensions (Cronbach’s α ≥ 0.76; McDonald’s ω ≥ 0.84). The validated scale provides a reliable, theoretically coherent instrument for assessing engineering student emotions along pleasant–unpleasant and activation–deactivation dimensions, enabling systematic emotional assessment and targeted interventions while addressing critical gaps in affective assessment tools. Full article

Assessing teaching behavior is essential for improving instructional quality, particularly in Physical Education, where classroom interactions are fast-paced and complex. Traditional evaluation methods such as questionnaires, expert observations, and manual discourse analysis are often limited by subjectivity, high labor costs, and poor scalability. These challenges underscore the need for automated, objective tools to support pedagogical assessment. This study explores and compares the use of Transformer-based language models for the automatic classification of teaching behaviors from real classroom transcriptions. A dataset of over 1300 utterances was compiled and annotated according to the teaching styles proposed in the circumplex approach (Autonomy Support, Structure, Control, and Chaos), along with an additional category for messages in which no style could be identified (Unidentified Style). To address class imbalance and enhance linguistic variability, data augmentation techniques were applied. Eight pretrained BERT-based Transformer architectures were evaluated, including several pretraining strategies and architectural structures. BETO achieved the highest performance, with an accuracy of 0.78, a macro-averaged F1-score of 0.72, and a weighted F1-score of 0.77. It showed strength in identifying challenging utterances labeled as Chaos and Autonomy Support. Furthermore, other BERT-based models purely trained with a Spanish text corpus like DistilBERT also present competitive performance, achieving accuracy metrics over 0.73 and and F1-score of 0.68. These results demonstrate the potential of leveraging Transformer-based models for objective and scalable teacher behavior classification. The findings support the feasibility of leveraging pretrained language models to develop scalable, AI-driven systems for classroom behavior classification and pedagogical feedback. Full article

Background/Objectives: The adoption of sustainable eating behaviors is not only crucial for environmental health but also has significant implications for individual health outcomes. A deeper understanding of the psychological determinants underlying such changes is needed. The Theory of Planned Behavior (TPB) has been widely used to understand the psychological factors influencing health behaviors, including dietary choices. Recent advances suggest integrating additional psychological constructs, such as personal values, to enhance TPB’s predictive power and the effectiveness of related behavioral interventions. Methods: A novel Food-Related Personal Values Questionnaire (FRPV-Q) was developed based on Schwartz’s circumplex model of basic values, and the role of these food-related personal values within an enhanced TPB framework was tested. Statistical analyses were conducted to explore the structure of the questionnaire. Results: Three components were identified within the FRPV-Q: Openness, Health and Security, and Autonomy (Kaiser–Meyer–Olkin test = 0.576). The regression analyses highlighted the potential role of personal values in predicting sustainable eating behaviors (adjusted R² = 0.318). Specifically, an orientation toward autonomy, hedonism, and self-directionality appeared to hinder the adoption of sustainable food choices, while an orientation toward health, security, and openness to novelty was found to promote more sustainable dietary choices. Conclusions: The results offer preliminary insights into the role of personal values in food-related behaviors. Future research aimed at understanding and promoting pro-environmental food-related behaviors should rigorously investigate the topic. Carefully tailored value-based psychological interventions may prove beneficial for the general population in the promotion of sustainable dietary lifestyles. Full article

Urban noise pollution significantly degrades people’s health and well-being and, furthermore, traditional noise reduction strategies often overlook individual perception differences. This study proposed to explore the role of eco-acoustic indices in capturing the interplay between biophony, geophony, and anthrophony, and their relationship with classical acoustic metrics and the perceived soundscapes within a University Campus (University of “Mila-no-Bicocca”, Italy). The study area is divided in to eight different sites in “Piazza della Scienza” square. Sound measurements and surveys conducted in June 2023 across four paved sites and adjacent courtyards involved 398 participants (51.7% female, 45.6% male, 2.7% other). The main noise sources included road traffic, technical installations, and human activity, where traffic noise was more prominent at street-level sites (Sites 1–4) and technical installations dominated underground courtyards (6–8). Human activity was most noticeable at Sites 4–8, especially at Site 5, which showed the highest activity levels. A circumplex model revealed that street-level sites were less pleasant and eventful than courtyards. Pairwise comparisons of noise variability showed significant differences among sites, with underground locations offering quieter environments. Eco-acoustic analysis identified two site groups: one linked to noisiness and spectral features, the other to intensity distribution metrics. Technical installations, people, and traffic noises showed distinct correlations with acoustic indices, influencing emotional responses like stimulation and liveliness. These findings emphasize the need to integrate subjective perceptions with objective noise metrics in soundscape descriptions. Full article

This study explores the passengers’ accessibility dilemma in Valparaíso, Chile, through field observations and laboratory experiments. The aim is to investigate the accessibility in metro stations based on the users’ emotional experience. Perceptions were reported through the emotions of passengers according to a circumplex psychological model and an accessibility ranking. Passengers reported their emotions (e.g., stress, sadness, relaxation, and happiness) during different trip moments. Results indicate that rearranging train seats parallel to movement creates a more spacious aisle, enhancing mobility and evoking positive emotions such as happiness. However, an unexpected rise in sadness suggests that social dynamics may influence emotional responses, warranting further investigation. Overcrowding increases stress and sadness, emphasizing the need for capacity management to improve passengers’ emotional experiences. Field observations reveal that early journey stages, such as walking to the station or waiting on the platform, are associated with unpleasant experiences due to poor infrastructure and accessibility barriers. In contrast, train rides foster more positive emotions, credited to better accessibility onboard. Passenger dissatisfaction arises from issues such as elevator malfunctions, inconsistent train schedules, and inadequate station accessibility. This study could help to understand passenger behavior when the accessibility conditions of metro stations and their surroundings are changed. Further studies will expand the concept of emotions by considering social and psychological factors and explore different types of stations and their surroundings considering a larger sample size in laboratory experiments and field studies. Full article

Background: Teaching style has a significant influence on students’ learning outcomes. This study focused on identifying teaching profiles in Physical Education characterized by high directiveness, using structure and control behaviors that impact students’ outcomes, basic psychological needs (BPN), and engagement. It was based on the circumplex model and self-determination theory (SDT) and intended to explore how these styles affect students’ motivation and engagement. Methods: A cluster-based methodological design was applied, evaluating teachers through self-reports. Adapted measures of structure and control were used to classify teachers into four distinct profiles within the educational context of Physical Education. Results: The study identified three teaching profiles: ‘high structure–low control’, ‘high structure–high control’, ‘low structure–low control’, and ‘low structure–high control’. The ‘high structure–low control’ profile showed the best results in autonomous and controlled motivation, with greater behavioral engagement among students. In contrast, the ‘high structure–high control’ profile was associated with higher levels of demotivation. Conclusions: Teaching styles of structure and control can combine in various ways among Physical Education teachers, significantly influencing student motivation, satisfaction of basic psychological needs, and engagement. It is recommended that teachers adopt behaviors that support structure without becoming controlling to enhance student learning and participation in classes. Full article

The aim of this article is to assess which elements of street design impact subjective well-being in the central area of a city in southern Chile, based on residents’ perceptions. Fifty-six semi-structured walking interviews were conducted to obtain records of pedestrians’ self-reported perceptions of their environment. To categorize the emotions reported in the interviews, the Circumplex Model of Affect was used to organize and classify the declared emotions. The results revealed that street design elements such as heritage buildings with well-maintained facades with intense colors in their coatings, spacious front gardens, wooden facades, low fences, wide sidewalks, soft or rubberized floors, and trees with colorful fruits and leaves promote a greater dominance of high-intensity positive emotions such as enjoyment, joy, happiness, liking, and pleasure. In contrast, neglected or abandoned building facades, blind fronts with graffiti or murals, high fences, tall buildings, treeless or vegetation-free sidewalks, untrimmed bushes, and narrow and poorly maintained sidewalks promote negative emotions of both high and low activation such as fear, anger, dislike, rage, unsafety, discomfort, and stress. The article concludes with the development of an emotional map of momentary experiences, identifying places of well-being and discomfort in public spaces. The value of this map is discussed as a tool to inform urban design in the promotion of healthier pedestrian environments in Latin American cities. Full article

The urban soundscape contributes significantly to defining human perception and experience. Several standard assessment methods for data collection refer to in situ evaluations to determine how people perceive urban acoustic qualities. These methods, which generally involve soundwalks accompanied by questionnaires, are valuable but need to be validated in different cultural contexts. To address this need, international efforts such as the Soundscape Attribute Translation Project (SATP) are underway to ensure the effectiveness of a data collection standard in non-English-speaking regions. As a part of the SATP project, this study explores potential variations in how people experience urban soundscapes in North Africa. A standardized listening experiment was used to compare how Arabic speakers and French speakers rate the perceived affective qualities (PAQ) of urban soundscapes. Using data collected in public urban spaces in London, participants from both language groups rated 27 recorded urban soundscapes using a PAQ questionnaire. Findings from the Kruskal–Wallis H-test suggest that the perception of pleasant, chaotic, and vibrant are significant, while the dimensions of eventful, monotonous, and quiet show no significant distinctions between the two PAQ groups. Furthermore, opposing Pearson correlations were observed for the attributes of pleasantness and eventfulness, along with contradictions for vibrant, monotonous, and calm. The two-dimensional circumplex models visually map the differences in perceptual responses between the two PAQ groups, displaying distinct circular distortions along the monotone-vibrant axis for Arabic PAQs and the chaotic-calm axis for the French PAQs. The findings of this study suggest that further investigations are needed to understand whether the differences in the urban soundscape perception between these two PAQs are due to linguistic factors or other factors. Full article

The cognitive state of a person can be categorized using the circumplex model of emotional states, a continuous model of two dimensions: arousal and valence. The purpose of this research is to select a machine learning model(s) to be integrated into a virtual reality (VR) system that runs cognitive remediation exercises for people with mental health disorders. As such, the prediction of emotional states is essential to customize treatments for those individuals. We exploit the Remote Collaborative and Affective Interactions (RECOLA) database to predict arousal and valence values using machine learning techniques. RECOLA includes audio, video, and physiological recordings of interactions between human participants. To allow learners to focus on the most relevant data, features are extracted from raw data. Such features can be predesigned, learned, or extracted implicitly using deep learners. Our previous work on video recordings focused on predesigned and learned visual features. In this paper, we extend our work onto deep visual features. Our deep visual features are extracted using the MobileNet-v2 convolutional neural network (CNN) that we previously trained on RECOLA’s video frames of full/half faces. As the final purpose of our work is to integrate our solution into a practical VR application using head-mounted displays, we experimented with half faces as a proof of concept. The extracted deep features were then used to predict arousal and valence values via optimizable ensemble regression. We also fused the extracted visual features with the predesigned visual features and predicted arousal and valence values using the combined feature set. In an attempt to enhance our prediction performance, we further fused the predictions of the optimizable ensemble model with the predictions of the MobileNet-v2 model. After decision fusion, we achieved a root mean squared error (RMSE) of 0.1140, a Pearson’s correlation coefficient (PCC) of 0.8000, and a concordance correlation coefficient (CCC) of 0.7868 on arousal predictions. We achieved an RMSE of 0.0790, a PCC of 0.7904, and a CCC of 0.7645 on valence predictions. Full article

Humans perceive their surrounding environments largely through their experiences of sight and hearing. The perceived environmental information then brings on neurophysiological changes, so as to influence human emotions. These mutually influenced relations have been widely utilized by many environmental psychologists to explore potential avenues for improving human emotions through design interventions. However, to date, no efficient and accurate way has been established to describe these relationships. Inspired by Russell’s model of emotion, this study aims to develop an efficient process that uses coordinate mapping and can intuitively describe the impact of visual-aural perceptive attributes on human emotions. Taking typical urban green spaces (UGSs) in Chengdu as examples, this study first measured the visual and aural characteristics of study sites perceived by people and their emotional responses. The study then established the use of emotional status on a coordinate axis, allowing each visual-aural attribute corresponding to each emotional response to be projected onto the coordinates. Results suggested that the dataset composed of 279 evaluations could be classified into three distinct types of visual-aural settings and the distribution of emotions is evidently varied in different settings. It was found that aesthetic and order of visual aspects as well as eventful and harmonious soundscape in environments are more likely to make people feel pleasure, while openness and layering of the visual landscape can easily arouse people’s positive status. The research outcome broadens the practical path of soundscape research, centring on human emotions, experiences and feelings, such as the pleasantness and arousal raised in Russell’s theory of emotion. The study also makes an empirical contribution to the design of UGSs based on multi-sensory perception and serves the purpose of improving people’s environmental experiences. Full article

Introduction: Although gifted children can express high cognitive skills, they can also show socioemotional difficulties. Drawing from Olson’s circumplex model, the present paper assessed the role of family functioning in internalizing and externalizing problems in gifted children. Materials and Methods: 362 mothers and their 362 gifted children were included. The unbalanced subscales of the FACES IV—disengagement, enmeshment, rigidity, and chaos—and the CBCL were administered to mothers. The children completed the WISC-IV. Results: The model predicting internalizing problems was significant and explained 5.6% of the variance. Only rigidity had an independent and positive effect on internalizing problems in gifted children over and above sociodemographic variables and QI, whereas disengagement, enmeshment, and chaos were not associated with internalizing problems. The model predicting externalizing problems was significant and explained 10% of the variance. Again, rigidity was the only variable that had an independent and positive effect on externalizing problems in gifted children over and above sociodemographic variables and QI, whereas disengagement, enmeshment, and chaos were not associated with externalizing problems in this population. Discussion: Rigid families with a low ability to change in conditions that require readjustment appear to increase the risk of both internalizing and externalizing problems in gifted children. Although further studies are needed to support these preliminary findings, parental support interventions aimed at increasing flexibility appear to be useful. Full article