Personality is a critical factor which influences people's behavior and interests. There is a high potential that incorporating users' characteristics into recommender systems could enhance recommendation quality and user experience. The goal of this tutorial is to give an overview of personality-based recommender systems and discuss challenges and possible research directions in this topic.
Trust allows the behavior evaluation of individuals by setting confidence values, which are used in decisions about whether or not to interact. They have been used in several fields, and many trust and reputation models were developed recently. We perceived that most of them were built upon the numeric and cognitive paradigms, which do not use affective aspects to build trust or help in decision making. Studies in psychology argued that personality, emotions, and mood are important in decision making and can change the behaviors of individuals. Based on that, we present links between trust and affective computing, showing relations of trust dimensions found in trust models with affective aspects, and presenting why affective computing approaches fit trust issues often addressed by research in this field. We also discuss trust relationships and decision making, emotions, and personality. Affective computing concepts have been used in a dispersed way and specifically in some models, so we aim to bring them together to encourage the growth of fuller trust models similar to those used by humans. We aim to find relations between both fields so it will be possible to employ such concepts to develop trust models using this new paradigm, defined as the affective paradigm.
Esse artigo tem como objetivo obter um panorama das iniciativas brasileiras que fomentam a entrada de mulheres da área da Computação. A metodologia utilizada foi baseada no processo do Mapeamento Sistemático. Após a análise dos dados concluiu-se que apesar da baixa representatividade das mulheres, há atualmente uma significativa quantidade de iniciativas brasileiras que fomentam a entrada destas na Computação.
Although the teaching of Computational Thinking (CT) has advanced, there is a lack of research that reports its practices and results. This Systematic Mapping Study aims to identify the current panorama of the teaching of unplugged CT, its practices, results, pillars and levels of interaction. We selected 29 of the 1472 articles obtained in the searches on a national and on six international databases. The results show a trend in CT education in exact subjects and extra activities. It was identified the presence of group activities favoring the participation and active interaction of the students and the absence of standardization in the validation, pointing out gaps for future research.
Resumo. Embora o ensino doPensamento Computacional (PC) tem avançado, faltam pesquisas que relatem suas práticas e resultados. Esse Mapeamento Sistemático da Literatura tem como objetivo identificar o panorama atual do ensino do PC desplugado, suas práticas, resultados, pilares e os níveis de interação. Foram selecionados 29 dos 1472 artigos obtidos nas buscas em uma base nacional e em seis bases internacionais. Os resultados obtidos mostram uma tendência no ensino do PC em disciplinas exatas e em atividades extra. Identificou-se a presença de atividades em grupo favorecendo a participação e interação ativa dos alunos e a ausência de padronização na validação, apontando lacunas para pesquisas futuras.
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