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Esta dissertação foi desenvolvida no contexto do estudo científico da emoção, e foca
a modulação de estados afectivos através de estímulos perceptuais. O progresso deste
trabalho foi guiado por dois objectivos principais: primeiro, o desenvolvimento do
sistema Affective Multimodal Data Base (AMDB), uma ferramenta para indução de
estados afectivos; e segundo, a realização de um estudo empírico, utilizando o AMDB,
com o objectivo de examinar a modulação de padrões de respostas afectivas em pessoas
que sofrem de enxaqueca com aura.
O sistema AMDB é uma plataforma de software para a geração de estímulos afectivos
através da combinação de sons, imagens estáticas e vídeos a ser utilizados em
contextos de indução de estados afectivos. Contribuições deste mestrado para o desenvolvimento
do AMDB incluem a adição de um interface gráfico para o utilizador,
a implementação de apresentação de estímulos e gravação de respostas fisiológicas de
forma sincronizada, melhoramentos na implementação modular do sistema, e por fim,
a realização de um primeiro caso de teste do AMDB.
A decisão de focar o estudo empírico, desenvolvido dentro do âmbito deste trabalho,
na patologia da enxaqueca foi motivada pelo facto desta ser muito difundida
e apresentar relações claras com os mecanismos de emoção. Os resultados deste estudo
sugerem um perfil afectivo específico às pessoas que sofrem de enxaqueca com
aura caracterizado por susceptibilidade intensificada a estímulos desagradáveis, potenciação
de estados afectivos negativos em situações de repetida exposição a estímulos
neutros ou desagradáveis, e disposição aumentada para a interrupção de estados
afectivos positivos na presença de estímulos ambientais de cariz emocional neutro ou
desagradável.
Este estudo espera contribuir para a compreensão dos padrões de respostas afectivas
específicos na patologia da enxaqueca, servindo como ponto de partida para o
design de abordagens terapêuticas baseadas na modulação de estados afectivos.
This thesis was developed in the context of the scientific study of emotion, and focuses on the modulation of affective states through perceptual stimuli. Two goals were pursued during the course of this master project. Firstly, the development of the Affective Multimodal Data Base (AMDB) system, a tool for multimodal emotion induction, and secondly, to conduct an empirical study, using the AMDB, that aimed at probing the modulation of affective response patterns in migraineurs. The AMDB system is a software platform for generating affective stimuli by combining sounds, pictures and videos, available in normalized affective stimuli libraries, into multimodal stimuli sequences to be used in emotion induction scenarios. Contributions of this master project to the development of the AMDB system include the addition of a graphical-user-interface, implementation of synchronized stimuli presentation and physiology response recording, improvement in the modular implementation of the system, and finally, realization of the first test-case of the AMDB system. It was decided to focus the empirical study on migraine, because it is a widespread pathology that presents a clear link with emotion mechanisms. The empirical study aimed at investigating dynamic patterns of affective responsiveness and modulation in migraineurs with aura. The findings from this study suggest an affective profile specific to migraineurs with aura characterized by an enhanced impact of unpleasant stimuli, potentiation of negative affective states when repeatedly exposed to non-pleasant stimuli, and high susceptibility to disrupt positive affective states in the presence of unpleasant and neutral environmental stimuli. This study hopes to contribute to the understanding of affective response patterns specific to migraine, and to provide insights for the design of therapy approaches to migraine based on emotion modulation, that could in the future help migraine sufferers ease the disease burden through the use of accessible media technologies.
This thesis was developed in the context of the scientific study of emotion, and focuses on the modulation of affective states through perceptual stimuli. Two goals were pursued during the course of this master project. Firstly, the development of the Affective Multimodal Data Base (AMDB) system, a tool for multimodal emotion induction, and secondly, to conduct an empirical study, using the AMDB, that aimed at probing the modulation of affective response patterns in migraineurs. The AMDB system is a software platform for generating affective stimuli by combining sounds, pictures and videos, available in normalized affective stimuli libraries, into multimodal stimuli sequences to be used in emotion induction scenarios. Contributions of this master project to the development of the AMDB system include the addition of a graphical-user-interface, implementation of synchronized stimuli presentation and physiology response recording, improvement in the modular implementation of the system, and finally, realization of the first test-case of the AMDB system. It was decided to focus the empirical study on migraine, because it is a widespread pathology that presents a clear link with emotion mechanisms. The empirical study aimed at investigating dynamic patterns of affective responsiveness and modulation in migraineurs with aura. The findings from this study suggest an affective profile specific to migraineurs with aura characterized by an enhanced impact of unpleasant stimuli, potentiation of negative affective states when repeatedly exposed to non-pleasant stimuli, and high susceptibility to disrupt positive affective states in the presence of unpleasant and neutral environmental stimuli. This study hopes to contribute to the understanding of affective response patterns specific to migraine, and to provide insights for the design of therapy approaches to migraine based on emotion modulation, that could in the future help migraine sufferers ease the disease burden through the use of accessible media technologies.
Descrição
Tese de mestrado, Ciência Cognitiva, Universidade de Lisboa, Faculdade de Ciências, Faculdade de Letras, Faculdade de Medicina, Faculdade de Psicologia, 2010
Palavras-chave
Ciência cognitiva Respostas emocionais Enxaqueca Teses de mestrado - 2010
