O Ensino Superior Brasileiro vem aumentando, principalmente, com a participação de Instituições Privadas. Dados recentes do MEC demonstram o alto grau de desistência e abandono, por parte do aluno, de sua graduação, o que afeta tanto o viés pessoal, profissional e emocional do discente, quanto nas questões organizacionais e financeiras da Instituição. Saber o que interfere na satisfação do estudante é uma das formas de atuação para reduzir a taxa de evasão, bem como fazer com que o aluno se engaje mais na sua escolha acadêmica. Diante disso, o presente estudo fez um levantamento dos setores que deveriam ser analisados e entrevistou 44 alunos de graduação, das áreas de ‘Saúde’, ‘Humanas’ e ‘Exatas’. Salienta-se que vários fatores interferem na satisfação do educando. Neste sentido, a pesquisa teve como resultado principal a categoria ‘Acadêmica’, principalmente no que diz respeito à ‘qualidade de ensino’ e com o ‘docente’, mas também se tem destaque para o ‘serviço’, a ‘estrutura física’ e o ‘relacionamento’ com o aluno. Como resultado principal o setor ‘Acadêmico’ e ‘Docente’ foram os pontos tidos como principais para a satisfação do aluno do ensino superior e que as avaliações são espontâneas e sofrem influência do contexto.
The year 2020 was marked by the Covid-19 pandemic, where in addition to the whole situation of the danger of the virus, it had several emotional and social impacts. As a result of this scenario, in some places – such as Brazil – higher education classes have migrated to remote spaces. It is worth to notice that the educational sector is an important sector for the market and for society, and one of its metrics for strategic decisions is the understanding of student satisfaction. In turn, emotional design aims to understand the human being from an affective perspective, beyond functional issues. In view of this, this study aims to analyze the fluctuations of students' moods in the educational context, throughout the 2020 pandemic year, in the face of various milestones of the academic cycle, through the self-report tool BRUMS (Brunel Mood Scale) from the perspective of the emotional design. In total, there were 6 data collection moments, in two educational cycles, between April and December 2020, accounting for a total of 144 responses. As a result, it was possible to perceive the fluctuation of students' moods throughout the educational cycle in the pandemic period, evidencing the tension in the test periods, the fatigue during the lockdown, the vigor in the beginning and end of the semester. Anger was the least activated mood throughout the cycle, followed by depression. It was possible to perceive that BRUMS is a tool that helps in understanding mood, throughout the service cycle, enabling decision-making and planning of more user-centered services, in addition to a greater concern in emotional aspects to, in this case, promote a better academic experience in the educational context.
fNIRS is a functional neuroimaging technology that measures activations according to the oxygenation and deoxygenation of neural activities. A technique still little used within design, but that can contribute in neurodesign and affective, for example. Although emotions are universal, their way of perceiving and feeling is individual. The emotion design has some gaps, namely the lack of mastery of techniques and knowledge of human responses to emotions. In total, 44 articles were analyzed in a non-systematic way, with the aim to find the advantages and disadvantage of using fNIRS. As conclusion, it was possible to perceive that the fNIRS is a promising neuroimaging technique with 20 advantages points and 13 disadvantages points. The stimuli can be sensorial, cognitive and motor, handled in laboratory, in social environments or in real situations. fNIRS is already used in studies of emotions and can help to investigate the brain activations in the face of emotion processing and the affective design, enabling the possibility to design better experiences, products, services or environments focused on this affective parameter in front of neurocognition. fNIRS is an emerging and promising technique, which can help to understand some gaps in human beings as promote pleasure and well-being.
A Engenharia Kansei surgiu na década de 1950 como tecnologia de desenvolvimento de produto através das percepções intangíveis, como os sentimentos do usuário diante de um bem ou um serviço. É uma metodologia que busca tangibilizar o sentimento em um design físico, ou até melhorias de serviço, por meio de variadas e distintas abordagens práticas. No material publicado é possível perceber uma evolução e um crescimento das práticas adotadas desde o uso da palavra Kansei à utilização de modelagem matemática ou realidade virtual. O presente artigo tem como proposta concatenar os tipos de abordagens sob o viés de diversos autores da área. Desta forma, este trabalho teve como objetivo analisar a origem da engenharia Kansei e seus diferentes tipos de métodos utilizados. O artigo reúne, a partir de um trabalho de análise bibliográfica, um o total de oito tipos de métodos distintos. É feito um comparativo entre os métodos e suas características, bem como as particularidades de cada um dos tipos.
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