Immersive journalism (IJ) is often assumed to be inherently emotion-inducing. Through using inclusive technology, interaction possibilities and immersive narratives, the audience should ideally experience what feels like to be in a certain situation. However, for the most part we do not know to which extent and in what form IJ influences the experience of emotions. We wanted to investigate, whether, and if so, which characteristics of IJ are related to the experience of emotions, and which role the personality trait empathy tendency plays in this respect. This is important, as the evaluation of IJ often relies on the emotion-inducing assumption thereof. Four different experiments comparing one immersive journalistic characteristic (level of inclusion, interaction possibilities, immersive narratives) to the respective non-immersive counterpart were conducted. Results indicate that while the level of inclusion and interaction possibility increase the intensity of the experience, the immersive narrative influences the valence dimension of emotions. Additionally, empathy tendency is found to be a relevant moderator for these effects. Conclusions are threefold. First, the narrative form of IJ is key; second, the analysis of IJ needs to go beyond the level of inclusion; third, including emotions when assessing IJ is fundamental to understand its impact.
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Aims. The aim of this study is to gain insight into the level of emotional intelligence of mental health nurses in the Netherlands. Background. The focus in research on emotional intelligence to date has been on a variety of professionals. However, little is known about emotional intelligence in mental health nurses. Method. The emotional intelligence of 98 Dutch nurses caring for psychiatric patients is reported. Data were collected with the Bar-On Emotional Quotient Inventory within a cross-sectional research design. Results. The mean level of emotional intelligence of this sample of professionals is statistically significant higher than the emotional intelligence of the general population. Female nurses score significantly higher than men on the subscales Empathy, Social Responsibility, Interpersonal Relationship, Emotional Self-awareness, Self-Actualisation and Assertiveness. No correlations are found between years of experience and age on the one hand and emotional intelligence on the other hand. Conclusions. The results of this study show that nurses in psychiatric care indeed score above average in the emotional intelligence required to cope with the amount of emotional labour involved in daily mental health practice. Relevance to clinical practice. The ascertained large range in emotional intelligence scores among the mental health nurses challenges us to investigate possible implications which higher or lower emotional intelligence levels may have on the quality of care. For instance, a possible relation between the level of emotional intelligence and the quality of the therapeutic nurse–patient relationship or the relation between the level of emotional intelligence and the manner of coping with situations characterised by a great amount of emotional labour (such as caring for patients who self-harm or are suicidal).
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Universal school-based social-emotional learning (SEL) programs target several social-emotional skills assuming a relationship between the skills and psychosocial health outcomes. However, greater insight into the relationship is required to clarify the skills that are most crucial to address. It will support the development and refinement of SEL programs. This study investigated (1) the relationship among the social-emotional skills, (2) the association between the skills and psychosocial health variables, and (3) the mediating effect of the skills on psychosocial variables. Results: There was a high degree of overlap between the five skills (self-awareness, social awareness, self-management, relationship skills, and responsible decision-making). The skills were univariately associated with emotional-behavioral difficulties and prosocial behavior. In the multivariate model, self-management most strongly correlated with emotional-behavioral difficulties and mediated the relationship between self-awareness and emotional-behavioral difficulties. Social awareness showed the highest correlation with prosocial behavior and mediated the relationship between prosocial behavior and three other skills: self-awareness, relationship skills, and responsible decision-making.
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Theme parks are looking into extending the life cycle of roller coasters by creating VR environments that are designed for and synchronised with the ride. Riding a coaster with a VR headset that immerses visitors into a virtual environment is therefore a rapidly emerging trend.In this project we compare how visitors experience a roller coaster ride with and without VR add-on.We recorded bodily indices of emotional engagement (skin conductance responses; SCRs) during roller coaster rides with and without Virtual Reality (VR) add-ons, alongside with self-reported evaluations of the two types of rides.Self-reported levels of presence are similar across VR and NVR rides, and VR rides are evaluated more positively. SCR time series correlate meaningfully with the different ride elements and can therefore be used to identify which parts of the ride are, or aren’t, emotionally engaging. SCRs do not significantly predict overall evaluations of the ride, however.Main collaborating partner: Europapark, Germany
The ongoing environmental changes in the Arctic call for a deeper understanding of how local communities experience and adapt to these transformations. This PhD examines sense of place and how this shapes future climate imaginaries within riverine communities, focusing on the Altaelva community in northern Norway. In northern Peru, the community has long experienced alternating environmental changes due to the El Niño Southern Oscillation, nowadays intensified by climate change. By examining how these communities adapt to cyclical environmental shifts, this case study provides comparative insights relevant to the Arctic, where climate change presents a more linear, continuous impact.Utilizing qualitative methods, I explore how individuals and groups form emotional and cognitive attachments to the environment while living in a changing climate. This PhD investigates locally rooted visions of climate futures that are informed by the community's sense of place, so-called “emplaced climate imaginaries”. By focusing on how the community’s attachment to the river influences their perceptions of future climate scenarios, I aim to identify the ways in which these imaginaries contribute to sustainable adaptation strategies.The study’s focus on the intersection of emotional bonds to place and anticipatory climate futures offers insights into how communities cope with and adapt to environmental change. These findings will contribute to broader discussions on climate resilience, emphasizing the importance of integrating local narratives and experiences into climate adaptation policies. The research not only provides a lens into Arctic futures but also underscores the role of local, place-based attachments in shaping responses to climate change.
We propose to do an experimental study in which we will use 360 video and still photo simulations that portray varying levels of crowding. Simulations will be presented to 25 student participants and 25 older adult participants (65+; a lucrative tourist segment) in an experimental setting while signals of their emotional responses are recorded from their brain (EEG) and body (skin conductivity and heart rate) at our Experience Measurement Lab. A questionnaire will measure their intent to recommend and their willingness to pay for the ‘experiences’ (simulations) they have viewed. Analyses will determine optimal levels of crowding for the quality of the tourist experience, but also for income at the destination, accounting for the fact that a more crowded destination features more potential sources of income (visitors), but each a (possibly) different level of willingness to pay, including potential implications for local tourist taxes. Models will also account for possibly different processes in the two different age groups. Furthermore, modelling word-of-mouth/mouse marketing based on intent to recommend will also make it possible to predict how crowding affects demand long-term. Partner: KU Leuven.
