Impact des émotions sur les performances

Les émotions jouent un rôle primordial dans les processus cognitifs et plus particulièrement dans les tâches d’apprentissage. D’ailleurs, plusieurs recherches neurologiques ont montré l’interrelation qui existe entre la cognition et les émotions. Elles ont aussi déterminé plusieurs formes d’intelligence humaine autre que l’intelligence rationnelle parmi lesquelles nous distinguons la forme ayant comme dimension émotionnelle, à savoir l’intelligence émotionnelle, vu son impact sur les processus d’apprentissage. L’intelligence émotionnelle est alors un facteur significatif de réussite scolaire et professionnelle. Sous la lumière de ces constatations présentées, les informaticiens à leur tour, vont alors tenter de consentir de plus en plus de place au facteur émotionnel dans les systèmes informatiques et plus particulièrement dans ceux dédiés à l’apprentissage. L’intégration de l’intelligence émotionnelle dans ces systèmes et plus précisément, dans les Systèmes Tutoriels Intelligents (STI), va leur permettre de gérer les émotions de l’apprenant et par la suite améliorer ses performances. Dans ce mémoire, notre objectif principal est d’élaborer une stratégie d’apprentissage visant à favoriser et accentuer la mémorisation chez les enfants. Pour atteindre cet objectif, nous avons développé un cours d’anglais en ligne ainsi qu’un tuteur virtuel utilisant des ressources multimédia tels que le ton de la voix, la musique, les images et les gestes afin de susciter des émotions chez l’apprenant. Nous avons conduit une expérience pour tester l’efficacité de quelques stratégies émotionnelles ainsi qu’évaluer l’impact des émotions suscitées sur la capacité de mémorisation des connaissances à acquérir par l’apprenant. Les résultats de cette étude expérimentale ont prouvé que l’induction implicite des émotions chez ce dernier a une influence significative sur ses performances. Ils ont également montré qu’il n’existe pas une stratégie efficace pour tous les apprenants à la fois, cependant l’efficacité d’une telle stratégie par rapport à une autre dépend essentiellement du profil comportemental de l’apprenant déterminé à partir de son tempérament.

Comparison of elicitation methods for moral and affective beliefs in the theory of planned behaviour

Although the theory of planned behaviour (TPB) has been applied successfully in the area of food choice, it has been criticized for its pure utilitarian approach to the factors determining behaviour. Despite the increase in predictive power of the model with added components such as affective attitude and moral and ethical concerns, in most studies the elicitation process still only addresses people's utilitarian beliefs about the behaviour with little attention paid to other aspects. This study compares the traditional method of elicitation of advantages and disadvantages with two other methods (word association and open-ended) in the elicitations of beliefs, attitudes and moral concerns in relation to the consumption of organic foods. Results show the traditional method to be best for eliciting cognitive beliefs, open-ended emotion task for eliciting emotional beliefs and open-ended beliefs task best for moral concerns. The advantages and disadvantages of each method are discussed.

Interpersonal Emotion Dynamics in Mother-Daughter Dyads during Adolescence

Thesis (Ph.D, Psychology) -- Queen's University, 2016-05-16 14:38:20.622

Response efficacy : the key to minimizing rejection and maximizing acceptance of emotion-based anti-speeding messages

This study sought to improve understanding of the persuasive process of emotion-based appeals not only in relation to negative, fear-based appeals but also for appeals based upon positive emotions. In particular, the study investigated whether response efficacy, as a cognitive construct, mediated outcome measures of message effectiveness in terms of both acceptance and rejection of negative and positive emotion-based messages. Licensed drivers (N = 406) participated via the completion of an on-line survey. Within the survey, participants received either a negative (fear-based) appeal or one of the two possible positive appeals (pride or humor-based). Overall, the study's findings confirmed the importance of emotional and cognitive components of persuasive health messages and identified response efficacy as a key cognitive construct influencing the effectiveness of not only fear-based messages but also positive emotion-based messages. Interestingly, however, the results suggested that response efficacy's influence on message effectiveness may differ for positive and negative emotion-based appeals such that significant indirect (and mediational) effects were found with both acceptance and rejection of the positive appeals yet only with rejection of the fear-based appeal. As such, the study's findings provide an important extension to extant literature and may inform future advertising message design.

Expressed emotion as predictor of relapse in patients with comorbid psychoses and substance use disorder

Objective: Expressed emotion (EE) and substance use disorder predict relapse in psychosis, but there is little research on EE in comorbid samples. The current study addressed this issue. Method: Sixty inpatients with a DSM-IV psychosis and substance use disorder were recruited and underwent diagnostic and substance use assessment. Key relatives were administered the Camberwell Family Interview. Results: Patients were assessed on the initial symptoms and recent substance use, and 58 completed the assessment over the following 9 months. High EE was observed in 62% of households. Expressed emotion was the strongest predictor of relapse during follow up and its predictive effect remained in participants with early psychosis. A multivariate prediction of a shorter time to relapse entered EE, substance use during follow up Q1 and (surprisingly) an absence of childhood attention deficit hyperactivity disorder. Conclusions: Since high EE is a common and important risk factor for people with comorbid psychosis and substance misuse, approaches to address it should be considered by treating clinicians.

Recent developments in expressed emotion and schizophrenia.

Reviews outcome studies on the course of schizophrenia as predicted by expressed emotion (EE) and considers methodological issues. The nature of EE and the mechanism for the predictive results are explored. EE probably determines relapse through its effect on emotions and symptom control. A stress-vulnerability model of relapse is advanced that incorporates biological factors and cycles of mutual influence between symptomatic behavior, life events, and EE. A social interaction model of schizophrenia may help to alleviate concerns that EE represents an attempt to blame families for schizophrenic relapse. Aversive types of behavior in patients and their relatives are seen as understandable reactions to stress that are moderated by social perceptions and coping skills. Families have made positive achievements, including the provision of noninvasive support.

Elicitator : an expert elicitation tool for regression in ecology

Expert elicitation is the process of retrieving and quantifying expert knowledge in a particular domain. Such information is of particular value when the empirical data is expensive, limited, or unreliable. This paper describes a new software tool, called Elicitator, which assists in quantifying expert knowledge in a form suitable for use as a prior model in Bayesian regression. Potential environmental domains for applying this elicitation tool include habitat modeling, assessing detectability or eradication, ecological condition assessments, risk analysis, and quantifying inputs to complex models of ecological processes. The tool has been developed to be user-friendly, extensible, and facilitate consistent and repeatable elicitation of expert knowledge across these various domains. We demonstrate its application to elicitation for logistic regression in a geographically based ecological context. The underlying statistical methodology is also novel, utilizing an indirect elicitation approach to target expert knowledge on a case-by-case basis. For several elicitation sites (or cases), experts are asked simply to quantify their estimated ecological response (e.g. probability of presence), and its range of plausible values, after inspecting (habitat) covariates via GIS.

Comparison of three expert elicitation methods for logistic regression on predicting the presence of the threatened brush-tailed rock-wallaby petrogale penicillata

Numerous expert elicitation methods have been suggested for generalised linear models (GLMs). This paper compares three relatively new approaches to eliciting expert knowledge in a form suitable for Bayesian logistic regression. These methods were trialled on two experts in order to model the habitat suitability of the threatened Australian brush-tailed rock-wallaby (Petrogale penicillata). The first elicitation approach is a geographically assisted indirect predictive method with a geographic information system (GIS) interface. The second approach is a predictive indirect method which uses an interactive graphical tool. The third method uses a questionnaire to elicit expert knowledge directly about the impact of a habitat variable on the response. Two variables (slope and aspect) are used to examine prior and posterior distributions of the three methods. The results indicate that there are some similarities and dissimilarities between the expert informed priors of the two experts formulated from the different approaches. The choice of elicitation method depends on the statistical knowledge of the expert, their mapping skills, time constraints, accessibility to experts and funding available. This trial reveals that expert knowledge can be important when modelling rare event data, such as threatened species, because experts can provide additional information that may not be represented in the dataset. However care must be taken with the way in which this information is elicited and formulated.

Changing musical emotion : a computational rule system for modifying score and performance

When communicating emotion in music, composers and performers encode their expressive intentions through the control of basic musical features such as: pitch, loudness, timbre, mode, and articulation. The extent to which emotion can be controlled through the systematic manipulation of these features has not been fully examined. In this paper we present CMERS, a Computational Music Emotion Rule System for the control of perceived musical emotion that modifies features at the levels of score and performance in real-time. CMERS performance was evaluated in two rounds of perceptual testing. In experiment I, 20 participants continuously rated the perceived emotion of 15 music samples generated by CMERS. Three music works, each with five emotional variations were used (normal, happy, sad, angry, and tender). The intended emotion by CMERS was correctly identified 78% of the time, with significant shifts in valence and arousal also recorded, regardless of the works’ original emotion.

Sounds from the empty city : a practice-led case study in the confluence of music, narrative and emotion

The creative practice: the adaptation of picture book The Empty City (Megarrity/Oxlade, Hachette 2007) into an innovative, interdisciplinary performance for children which combines live performance, music, projected animation and performing objects. The researcher, in the combined roles of writer/composer proposes deliberate experiments in music, narrative and emotion in the various drafts of the adaptation, and tests them in process and performance product. A particular method of composing music for live performance is tested in against the emergent needs of a collaborative, intermedial process. The unpredictable site of research means that this project is both looking to address both pre-determined and emerging points of inquiry. This analysis (directed by audience reception) finds that critical incidents of intermediality between music, narrative, action and emotion translate directly into highlights of the performance.