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3Understanding how experiences unfold requires measuring participants' emotions, especially as they move from location to location. Measuring and mapping emotions over space is technically challenging, however. While a number of technologies to record and spatially resolve emotion data exist, they have not been systematically compared. We present emotion data collected at a natural and military heritage site in the Netherlands using three different methods, namely retrospective self report, experience reconstruction, and physiology. These data are applied to three corresponding mapping methods. The resulting maps lead to divergent findings, demonstrating that spatial mapping of emotion data accentuates differences between distinct dimensions of emotions.
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Understanding how experiences unfold requires measuring participants' emotions, especially as they move from location to location. Measuring and mapping emotions over space is technically challenging, however. While a number of technologies to record and spatially resolve emotion data exist, they have not been systematically compared. We present emotion data collected at a natural and military heritage site in the Netherlands using three different methods, namely retrospective self report, experience reconstruction, and physiology. These data are applied to three corresponding mapping methods. The resulting maps lead to divergent findings, demonstrating that spatial mapping of emotion data accentuates differences between distinct dimensions of emotions.
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We were interested in interethnic differences and similarities in how emotion regulation strategies (reappraisal, suppression and social sharing) can be predicted by emotion valence and intensity. The sample consisted of 389 Dutch majority members and members of five immigrant groups: 136 Turkish and Moroccan, 105 Antillean and Surinamese, 102 Indonesian, 313 Western and 150 other non-Western immigrants. In a path model with latent variables we confirmed that emotion regulation strategies were significantly and similarly related to emotion valence and intensity across the groups. Negative emotions were more reappraised and suppressed than positive emotions. Intensity was positively related to social sharing and negatively related to reappraisal and suppression. The Dutch majority group scored higher on emotion valence than Turkish and Moroccan immigrants. Also, the Dutch majority group scored lower on reappraisal than all non-Western groups, and lower on suppression than Turkish and Moroccan immigrants. We conclude that group differences reside more in mean scores on some components than in how antecedents are linked to regulation strategies.
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Understanding and managing tourism event experiences requires insight into how emotions unfold across space. Drawing on constructed emotion theory, this study advanced both theoretical and methodological knowledge by comparing three spatial emotion mapping approaches. Namely, we applied experience reconstruction maps, emotion physiology maps, and emotion effectiveness maps to visitor experiences of two events at nature-based fort settings in the Netherlands. Using intercept sampling (N = 98), we combined questionnaires with GPS tracking and skin conductance measurement to collect location-resolved emotional data. The resulting maps revealed markedly different spatial emotion patterns, reflecting distinct emotional components: physiological arousal and recalled or reconstructed emotional arousal and valence. Studies which map emotions have usually not accounted for within-individual autocorrelation. Our multilevel statistical models, in contrast, did account for this. The difference in emotion ranking of AOI raised questions about the validity of previous emotion mapping efforts. We extended constructed emotion theory to spatial analysis, demonstrated the limits of current mapping methods, and argued in favor of controlling for autocorrelation for robust spatial emotion research. Our findings can provide methodological guidance for researchers and event managers, and can lay the groundwork for future innovations that integrate physiological, self-reported, and spatial data for sustainable tourism event management.
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Background The Self-Expression Emotion Regulation in Art Therapy Scale (SERATS) was developed as art therapy lacked outcome measures that could be used to monitor the specific effects of art therapy. Although the SERATS showed good psychometric properties in earlier studies, it lacked convergent validity and thus construct validity. Method To test the convergent validity of the SERATS correlation was examined with the EES (Emotional Expressivity Scale), Emotion Regulation Strategies for Artistic Creative Activities Scale (ERS-ACA) and Healthy-Unhealthy Music Scale (HUMS). Patients diagnosed with a Personality Disorder, and thus having self-regulation and emotion regulation problems (n = 179) and a healthy student population (n = 53) completed the questionnaires (N = 232). Results The SERATS showed a high reliability and convergent validity in relation to the ERS-ACA approach strategies and self-development strategies in both patients and students and the HUMS healthy scale, in patients. Hence, what the SERATS measures is highly associated with emotion regulation strategies like acceptance, reappraisal, discharge and problem solving and with improving a sense of self including self-identity, increased self-esteem and improved agency as well as the healthy side of art making. Respondents rated the SERATS as relatively easy to complete compared to the other questionnaires. Conclusion The SERATS is a valid, useful and user-friendly tool for monitoring the effect of art therapy that is indicative of making art in a healthy way that serves positive emotion regulation and self-development.
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Introduction: Depression can be a serious problem in young adult students. There is a need to implement and monitor prevention interventions for these students. Emotion-regulating improvisational music therapy (EIMT) was developed to prevent depression. The purpose of this study was to evaluate the feasibility of EIMT for use in practice for young adult students with depressive symptoms in a university context. Method: A process evaluation was conducted embedded in a larger research project. Eleven students, three music therapists and five referrers were interviewed. The music therapists also completed evaluation forms. Data were collected concerning client attendance, treatment integrity, musical components used to synchronise, and experiences with EIMT and referral. Results: Client attendance (90%) and treatment integrity were evaluated to be sufficient (therapist adherence 83%; competence 84%). The music therapists used mostly rhythm to synchronise (38 of 99 times). The students and music therapists reported that EIMT and its elements evoked changes in all emotion regulation components. The students reported that synchronisation elicited meaningful experiences of expressing joy, feeling heard, feeling joy and bodily responses of relaxation. The music therapists found the manual useful for applying EIMT. The student counsellors experienced EIMT as an appropriate way to support students due to its preventive character. Discussion: EIMT appears to be a feasible means of evoking changes in emotion regulation components in young adult students with depressive symptoms in a university context. More studies are needed to create a more nuanced and evidence-based understanding of the feasibility of EIMT, processes of change and treatment integrity.
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To model individuals' experience of urban spaces, this study integrates knowledge from environmental psychology and artificial intelligence to propose a framework for individuals' perceptions and emotion by incorporating individual characteristics and cognitive appraisal together with environment attributes as determinants. A path model is employed to capture how the four perceptions of environmental qualities (safety, liveliness, comfort, and legibility) and three dimensions of emotion (pleasure, arousal, dominance) are influenced by individual characteristics and cognitive appraisal using data collected in an online virtual reality experiment with 237 participants. Results show that emotional pleasure is more directly influenced by environmental attributes while arousal and dominance are closely related to a person's current mood and personality. Perceptions of environmental qualities do have mediating effects in emotion generation, but contribute differently to the three dimensions of emotion. Cognitive appraisal variables directly influence emotion generation, with ideal values always having positive effects and expected values always negative effects. The findings can help capture the dynamic process of emotional experiences between diverse individuals and may support experience-centered simulation and prediction.
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Background and need for innovation: In healthcare, emotions are traditionally avoided as they might cloud clinical judgement. However, ignoring emotions may lead to emotional exhaustion and burnout, jeopardising quality of care. More attention to emotions is needed to support healthcare professionals’ wellbeing and vitality, especially given the high rates of emotional exhaustion and burnout among them and factors like workforce shortages, an ageing population and increasing workload demands.
Goal of innovation: The training aims to support healthcare professionals’ wellbeing and vitality and help prevent emotional exhaustion and burnout.
Steps taken for development and implementation of innovation: The training is grounded in the theory of constructed emotion, incorporates an evidence-informed pedagogical approach, and uses participatory live music to teach healthy emotion construction. Based on the theory, we refer to this process as ‘emotion construction' rather than ‘emotion regulation'. The training includes theoretical background, six exercises following a gradual build-up towards (re)constructing emotions, and homework assignments.
Evaluation of innovation: Preliminary findings support music's ability to evoke distinct memories, bodily sensations, feelings, and emotions, corroborating its intended function. Eliciting personal memories with specific emotions through music supports the theory of constructed emotion and justifies its use in the training. First training evaluations included descriptions like enlightening, inspiring and empowering.
Critical reflection: The training programme shows a clear build-up and alignment with the theory, while incorporating evidence-informed pedagogical steps seamlessly. Implementation challenges include obtaining funding and, due to time constraints of the target groups, implementing the full training, which we mitigated by developing variations.
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This paper addresses the challenge faced by call center operators supporting family members of individuals with Substance Use Disorders (SUDs), particularly the difficulty of detecting emotional distress in callers during high-pressure interactions. We developed a lightweight, real-time Speech Emotion Recognition (SER) prototype for integration into call center workflows. The system applies speech segmentation and emotion classification to detect emotional states such as sadness, fear, anger, and disgust. We evaluated the prototype by benchmarking it with the CREMA-D dataset and with a small-scale user study. Our results indicate technical feasibility with moderate classification accuracy. The findings highlight the potential for AI-driven emotion detection to enhance emotional awareness and responsiveness in addiction helpline environments, helping operators to respond more effectively and ultimately improving the experience and outcomes for callers.
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Background Emotional eating is a complex problem fostering obesity and resulting from maladaptive emotionregulation. Traditional behavioural weight loss interventions have shown insignificant effect. They can be improvedby targeting the specific needs of individuals with emotional eating.
Objective The current study explored a tailored online approach with the aim to positively influence affect (positiveand negative) and emotion regulation by applying one of three exercises: body scan, opposite action, and positivereappraisal.
Design An embedded mixed‑method design (questionnaire data (t0, t1, t2) and perceived usefulness of exercisesin t2) was used to evaluate the effects of a two‑week online quasi‑experimental pilot study.
Subjects/setting In total, 80 participants with self‑reported emotional eating difficulties (DEBQ‑E; Memo = 3.48,SD = .64, range 1.62–4.92) finished baseline measurements; 15 completed the intervention. The study sample was pre‑dominantly female (95%), from 18 till 66 (Mage = 38,0 ± SD = 14.25).
Results Participants reported that the exercises helped them to pay attention to their physical sensations, and to see positive aspects in negative matters. The exercises were considered difficult by the participants, with too littleexplanation, and dull, due to minor variation. The observed changes revealed small, and moreover, not significant improvements of the three exercises on positive and negative affect and overall emotion dysregulation. Although the quantitative results did not reach significance, the qualitative data highlighted which aspects of the tailored exer‑cises may have contributed to mood and emotion regulation outcomes. A notable observation in the present studyis the substantial dropout rate, with the number of participants decreasing from 80 at baseline (T0) to 15 at the post‑intervention stage (T2).
Conclusions Future studies should identify tailored online exercises in emotion regulation skills in more detailand explore the contexts in which they are most effective in a personalized virtual coach virtual coach to be devel‑oped for individuals with emotional eating. Given the high dropout rate, more emphasis should be given to a properpresentation of the exercises, as well as more explanation of their usefulness and how to perform them.
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