129,416 research outputs found

    A review of the literature concerning anxiety for educational assessments

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    Automatic estimation of harmonic tension by distributed representation of chords

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    The buildup and release of a sense of tension is one of the most essential aspects of the process of listening to music. A veridical computational model of perceived musical tension would be an important ingredient for many music informatics applications. The present paper presents a new approach to modelling harmonic tension based on a distributed representation of chords. The starting hypothesis is that harmonic tension as perceived by human listeners is related, among other things, to the expectedness of harmonic units (chords) in their local harmonic context. We train a word2vec-type neural network to learn a vector space that captures contextual similarity and expectedness, and define a quantitative measure of harmonic tension on top of this. To assess the veridicality of the model, we compare its outputs on a number of well-defined chord classes and cadential contexts to results from pertinent empirical studies in music psychology. Statistical analysis shows that the model's predictions conform very well with empirical evidence obtained from human listeners.Comment: 12 pages, 4 figures. To appear in Proceedings of the 13th International Symposium on Computer Music Multidisciplinary Research (CMMR), Porto, Portuga

    How to measure mood in nutrition research

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    © 2014 The Authors. Mood is widely assessed in nutrition research, usually with rating scales. A core assumption is that positive mood reinforces ingestion, so it is important to measure mood well. Four relevant theoretical issues are reviewed: (i) the distinction between protracted and transient mood; (ii) the distinction between mood and emotion; (iii) the phenomenology of mood as an unstable tint to consciousness rather than a distinct state of consciousness; (iv) moods can be caused by social and cognitive processes as well as physiological ones. Consequently, mood is difficult to measure and mood rating is easily influenced by non-nutritive aspects of feeding, the psychological, social and physical environment where feeding occurs, and the nature of the rating system employed. Some of the difficulties are illustrated by reviewing experiments looking at the impact of food on mood. The mood-rating systems in common use in nutrition research are then reviewed, the requirements of a better mood-rating system are described, and guidelines are provided for a considered choice of mood-rating system including that assessment should: have two main dimensions; be brief; balance simplicity and comprehensiveness; be easy to use repeatedly. Also mood should be assessed only under conditions where cognitive biases have been considered and controlled

    Type D Personality and Injury Relationship in Collegiate Track Athletes

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    The purpose of this study was to examine Type D personality as an internal factor for injury risk in collegiate track athletes. A survey was administered to 275 track athletes across each of the three NCAA divisions. The survey included general questions about injury history, which included demographic type questions. A Type D Personality Inventory assessment was administered which measured negative affectivity and social inhibition (Blum, 2009). Additionally, the survey included a version of the Perceived Stress Scale (PSS), measuring an athlete’s evaluation of situations that invokes a stress response (Cohen et al, 1983). Lastly, the survey included the Athletic Coping Skills Inventory (ACSI) ((Smith et al, 1994), which measures an athlete’s psychological skills. Skills measured in this section included; coping under adversity, coach ability, concentration, confidence, goal setting, peaking under pressure, and freedom from worry. Logistic Regression results revealed that Type D personality is a significant factor for predicting athletic injury in collegiate track athletes. However, a discriminate analysis with the two factors of Type D personality, negative affectivity and social inhibition, revealed that only negative affectivity significantly predicted injury. Coping skills and perceived stress both had significant impacts on negative affectivity. Due to social inhibitions insignificant effect on predicting injury, it was not further looked into. Findings from this study provide essential information to athletic programs, coaches and athletes aiming to reduce injury risk among collegiate track athletes
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