45 research outputs found

    An empirical study of normative dissociation in musical and non-musical everyday life experiences

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    Dissociative experiences involving music have received little research attention outside the field of ethnomusicology. This paper examines the psychological characteristics of normative dissociation (detachment) across musical and non-musical experiences in ‘real world’, everyday settings. It draws upon a subset of data arising from an empirical project designed to compare transformative shifts of consciousness, with and without music in daily life, and the ways in which use of music may facilitate the processes of dissociation and absorption. Twenty participants kept unstructured diaries for two weeks, recording free descriptions of involving experiences of any kind as soon as possible after their occurrence. All descriptions were subsequently subjected to Interpretative Phenomenological Analysis (IPA). Results suggest that dissociative experiences are a familiar occurrence in everyday life. Diary entries highlight an established practice of actively sought detachment from self, surroundings or activity, suggesting that, together with absorption, the processes of derealization (altered perception of surroundings) and depersonalization (detachment from self) constitute common means of selfregulation in daily life. Music emerges as a particularly versatile facilitator of dissociative experience because of its semantic ambiguity, portability, and the variety of ways in which it may mediate perception, so facilitating an altered relationship to self and environmen

    Managing Learner’s Affective States in Intelligent Tutoring Systems

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    Abstract. Recent works in Computer Science, Neurosciences, Education, and Psychology have shown that emotions play an important role in learning. Learner’s cognitive ability depends on his emotions. We will point out the role of emotions in learning, distinguishing the different types and models of emotions which have been considered until now. We will address an important issue con-cerning the different means to detect emotions and introduce recent approaches to measure brain activity using Electroencephalograms (EEG). Knowing the influ-ence of emotional events on learning it becomes important to induce specific emo-tions so that the learner can be in a more adequate state for better learning or memorization. To this end, we will introduce the main components of an emotion-ally intelligent tutoring system able to recognize, interpret and influence learner’s emotions. We will talk about specific virtual agents that can influence learner’s emotions to motivate and encourage him and involve a more cooperative work, particularly in narrative learning environments. Pushing further this paradigm, we will present the advantages and perspectives of subliminal learning which inter

    Vocal expression of affect

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