1,720,966 research outputs found
Modéliser l’induction de stress social dans des simulations immersives en réalité virtuelle
La réalité virtuelle se présente comme un outil prometteur pour le traitement de l’anxiété sociale notamment à travers des thérapies d’exposition en réalité virtuelle. Dans ces thérapies, les utilisateurs sont confrontés à des situations stressantes et apprennent progressivement à ajuster leurs réactions affectives. Cela nécessite un certain niveau de stress essentiel à la réussite de l’entraînement. La littérature montre que les applications de réalité virtuelle sont capables de provoquer du stress ; toutefois, la manière dont les concepteurs peuvent contrôler avec précision ce niveau de stress reste floue. Pour répondre à ce problème, nous proposons un modèle décrivant un mécanisme permettant de contrôler le stress durant une évaluation sociale en réalité virtuelle. Ce modèle suggère que le stress est influencé par l’amicalité et la dominance des agents virtuels, et que la présence sociale joue un rôle médiateur dans leur impact sur le stress. Afin de tester ce modèle, nous avons mené trois études expérimentales impliquant 141 participants dans des tâches sociales telles que la prise de parole en public et les entretiens d’embauche. Les résultats montrent que le niveau de stress est impacté par le niveau d’amicalité et de dominance des agents virtuels, toutefois, des analyses supplémentaires sont nécessaires afin remédier aux limitations rencontrées et valider le modèle.Virtual reality has shown promise in treating social anxiety through virtual reality exposure therapies. In these therapies, users are exposed to stressful situations and gradually learn to adjust their affective responses. Exposing users to a stressful but safe environment is crucial for a successful exposure. This requires controlling the level of stress induced by the virtual environments. Literature shows that virtual reality applications are capable of inducing stress; however, it remains unclear how designers can precisely control this level of stress. To address this gap, we propose a model of stress that outlines a mechanism through which stress can be controlled during virtual social evaluation scenarios. The model suggests that users’ stress levels are influenced by the friendliness and dominance levels of the virtual agents, with this effect mediated by the users’ sense of social presence. To test this model, three studies involving 141 participants in social tasks, such as public speaking and job interviews, were conducted. The results indicate that agents’ friendliness and dominance levels influence users’ stress levels, however, further investigations are needed to address the limitations encountered and verify the model
Modéliser l’induction de stress social dans des simulations immersives en réalité virtuelle
Virtual reality has shown promise in treating social anxiety through virtual reality exposure therapies. In these therapies, users are exposed to stressful situations and gradually learn to adjust their affective responses. Exposing users to a stressful but safe environment is crucial for a successful exposure. This requires controlling the level of stress induced by the virtual environments. Literature shows that virtual reality applications are capable of inducing stress; however, it remains unclear how designers can precisely control this level of stress. To address this gap, we propose a model of stress that outlines a mechanism through which stress can be controlled during virtual social evaluation scenarios. The model suggests that users’ stress levels are influenced by the friendliness and dominance levels of the virtual agents, with this effect mediated by the users’ sense of social presence. To test this model, three studies involving 141 participants in social tasks, such as public speaking and job interviews, were conducted. The results indicate that agents’ friendliness and dominance levels influence users’ stress levels, however, further investigations are needed to address the limitations encountered and verify the model.La réalité virtuelle se présente comme un outil prometteur pour le traitement de l’anxiété sociale notamment à travers des thérapies d’exposition en réalité virtuelle. Dans ces thérapies, les utilisateurs sont confrontés à des situations stressantes et apprennent progressivement à ajuster leurs réactions affectives. Cela nécessite un certain niveau de stress essentiel à la réussite de l’entraînement. La littérature montre que les applications de réalité virtuelle sont capables de provoquer du stress ; toutefois, la manière dont les concepteurs peuvent contrôler avec précision ce niveau de stress reste floue. Pour répondre à ce problème, nous proposons un modèle décrivant un mécanisme permettant de contrôler le stress durant une évaluation sociale en réalité virtuelle. Ce modèle suggère que le stress est influencé par l’amicalité et la dominance des agents virtuels, et que la présence sociale joue un rôle médiateur dans leur impact sur le stress. Afin de tester ce modèle, nous avons mené trois études expérimentales impliquant 141 participants dans des tâches sociales telles que la prise de parole en public et les entretiens d’embauche. Les résultats montrent que le niveau de stress est impacté par le niveau d’amicalité et de dominance des agents virtuels, toutefois, des analyses supplémentaires sont nécessaires afin remédier aux limitations rencontrées et valider le modèle
Modéliser l’induction de stress social dans des simulations immersives en réalité virtuelle
Virtual reality has shown promise in treating social anxiety through virtual reality exposure therapies. In these therapies, users are exposed to stressful situations and gradually learn to adjust their affective responses. Exposing users to a stressful but safe environment is crucial for a successful exposure. This requires controlling the level of stress induced by the virtual environments. Literature shows that virtual reality applications are capable of inducing stress; however, it remains unclear how designers can precisely control this level of stress. To address this gap, we propose a model of stress that outlines a mechanism through which stress can be controlled during virtual social evaluation scenarios. The model suggests that users’ stress levels are influenced by the friendliness and dominance levels of the virtual agents, with this effect mediated by the users’ sense of social presence. To test this model, three studies involving 141 participants in social tasks, such as public speaking and job interviews, were conducted. The results indicate that agents’ friendliness and dominance levels influence users’ stress levels, however, further investigations are needed to address the limitations encountered and verify the model.La réalité virtuelle se présente comme un outil prometteur pour le traitement de l’anxiété sociale notamment à travers des thérapies d’exposition en réalité virtuelle. Dans ces thérapies, les utilisateurs sont confrontés à des situations stressantes et apprennent progressivement à ajuster leurs réactions affectives. Cela nécessite un certain niveau de stress essentiel à la réussite de l’entraînement. La littérature montre que les applications de réalité virtuelle sont capables de provoquer du stress ; toutefois, la manière dont les concepteurs peuvent contrôler avec précision ce niveau de stress reste floue. Pour répondre à ce problème, nous proposons un modèle décrivant un mécanisme permettant de contrôler le stress durant une évaluation sociale en réalité virtuelle. Ce modèle suggère que le stress est influencé par l’amicalité et la dominance des agents virtuels, et que la présence sociale joue un rôle médiateur dans leur impact sur le stress. Afin de tester ce modèle, nous avons mené trois études expérimentales impliquant 141 participants dans des tâches sociales telles que la prise de parole en public et les entretiens d’embauche. Les résultats montrent que le niveau de stress est impacté par le niveau d’amicalité et de dominance des agents virtuels, toutefois, des analyses supplémentaires sont nécessaires afin remédier aux limitations rencontrées et valider le modèle
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Modeling the Induction of Psychosocial Stress in Virtual Reality Simulations
International audienceDuring the last few years, a wide number of virtual reality applications dealing with psychosocial stress have emerged. However, our current understanding of stress and psychosocial stress in virtual reality hinders our ability to finely control stress induction. In my PhD project I plan to develop a computational model which will describe the respective impact of each factor inducing psychosocial stress, including virtual reality factors, personal factors and other situational factors
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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