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Re-Choice: plataforma de autoconhecimento e monitoração de estados emocionais
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| 469.84 KB | Adobe PDF | |||
| 3.79 MB | Adobe PDF |
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Abstract(s)
A tese contempla o estudo da inteligência emocional através da análise dos estados emocionais declarados por: transtorno depressivo, ansiedade, estresse, baixa autoestima e well-being com a finalidade de realização de uma prova de conceito para uma aplicação mobile. As motivações para o estudo se delinearam a partir de dados referentes a saúde global no setor de saúde mental, demonstrando baixos investimentos governamentais em estruturas neste setor. Em contrapartida são apresentadas as startups do setor privado que vem a expandir o mercado de saúde mental em parceria com novas tecnologias. Foi analisado o setor de tecnologia aliado à evolução da inteligência artificial. Tendo ênfase no enquadramento das funcionalidades nos chatbots, aliados a linguagem do Processamento de Língua Natural (NLP) que gera um comportamento espontâneo como feedback. São analisadas as postagens na rede social Facebook, contendo mais de trinta mil posts triados com o propósito de compreender as motivações e necessidades dos usuários em estar inserido em uma comunidade, e o que esperam como retorno desta. Em uma das comunidades em análise fora realizado um levantamento com 163 respostas sobre as motivações de ir ou não à um profissional da saúde mental. Foram verificadas as metodologias existentes que contemplassem os estados emocionais analisados. Estes processos fomentou o desenvolvimento de um teste em protótipo papel com vinte participantes divididos em Grupo A e Grupo B, cada grupo seguia regras explicitas dadas pelo tipo de papel para a realização dos exercícios e tempo de duração dos testes. Os resultados dos demonstraram respectivamente uma evolução de 60% e 30% na evolução do humor dos participantes. Como proposta de solução é projetado o proof of concept com elementos de Design de Iteração e ambientação da plataforma sobre imersão da filosofia proposta em todos os elementos da aplicação, e o cuidado pertinente ao estudo das cores, e sua correlação com as emoções. A tese conclui seu estudo apresentando as interfaces do proof of concept e uma narrativa em storytelling do que levaria uma pessoa a utilizar a plataforma Re-Choice.
This theses considers the study of emotional intelligence thought the emotional states such as: depressive disorder, anxiety, stress disorder, low self-esteem, and well-being with the purpose of delivering a mobile platform proof of concept solution. The original motivations where based on different data sources related to global health, within the mental health sector, revealing a low governmental investment rate on the infrastructure scenario. Differently, the private sector startups are taking over mental health market share, deploying new solutions with the introduction of technological breakthroughs. A research was conducted on the advances of Artificial Intelligence, with the main focus of algorithmic features available in chatbots integrated with Natural Language processing (NLP) which results in spontaneous behavior as feedback. More than thirty thousand of Facebook posts where analyzed and processed with the main purpose of understand user’s motivations and needs to be a part of a community and what expectations are set to be. In one of the communities that was being analyzed, one of them gave the permission to apply a survey, which got 163 responses from the users. The survey was conducted to understand the motivations of going or not going in a mental health professional. Another research verified about the existing methodologies that contemplated the emotional states that was selected previously. These processes indorsed the development of a Paper prototyping test that covered twenty participants divided into Group A and Group B. Each group tracked explicit rules, such as the type of paper to use for the exercises and the length of time in which they were evaluated. The results showed respectively, 60% and 30% in the evolution of the participants' mood. As a planned solution, a proof of concept was developed with the integration of UI Design and UX elements setting on the immersion of the philosophy wanted all elements of the mobile application. There was a plus point, which concerned the study of colors, and their correlation with emotions. This thesis concludes its study by presenting the proof of concept interfaces and a storytelling narrative of what would lead a person to use the Re-Choice platform.
This theses considers the study of emotional intelligence thought the emotional states such as: depressive disorder, anxiety, stress disorder, low self-esteem, and well-being with the purpose of delivering a mobile platform proof of concept solution. The original motivations where based on different data sources related to global health, within the mental health sector, revealing a low governmental investment rate on the infrastructure scenario. Differently, the private sector startups are taking over mental health market share, deploying new solutions with the introduction of technological breakthroughs. A research was conducted on the advances of Artificial Intelligence, with the main focus of algorithmic features available in chatbots integrated with Natural Language processing (NLP) which results in spontaneous behavior as feedback. More than thirty thousand of Facebook posts where analyzed and processed with the main purpose of understand user’s motivations and needs to be a part of a community and what expectations are set to be. In one of the communities that was being analyzed, one of them gave the permission to apply a survey, which got 163 responses from the users. The survey was conducted to understand the motivations of going or not going in a mental health professional. Another research verified about the existing methodologies that contemplated the emotional states that was selected previously. These processes indorsed the development of a Paper prototyping test that covered twenty participants divided into Group A and Group B. Each group tracked explicit rules, such as the type of paper to use for the exercises and the length of time in which they were evaluated. The results showed respectively, 60% and 30% in the evolution of the participants' mood. As a planned solution, a proof of concept was developed with the integration of UI Design and UX elements setting on the immersion of the philosophy wanted all elements of the mobile application. There was a plus point, which concerned the study of colors, and their correlation with emotions. This thesis concludes its study by presenting the proof of concept interfaces and a storytelling narrative of what would lead a person to use the Re-Choice platform.
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Keywords
Visualização de informação Autoconhecimento Bem-estar psicológico Conectividade personalizada