The main aim of this study is to contribute knowledge about the impact of the use of information and communication technologies (ICT) on the self-concept, mood, and quality of life of institutionalized older adults in retirement homes and day care centers (Portuguese institutions). It also studies the influence of independent variables such as age; education; referral to the institution (own initiative, indicated by friends, indicated by family, indicated by social security); attendance schedule; and visits from family and friends. The study comprised 41 participants organized into two groups: 22 older adults in the ICT Group and 19 older adults in the Passive Control Group. There were three evaluation periods: before the onset of intervention and 11 and 22 months after intervention began. The results demonstrate that involvement with information and communication technologies produced positive effects on older adults' social behavior and their self-perception of physical and environment facets of quality of life. Moreover, they suggest that there is a relationship between psychosocial variables and independent variables.

No abstract

Abstract-A new method to perform a bottom-up extraction and benchmark of the perceived multilevel smartness of complex ecosystems has been recently described and applied to territories and learning ecosystems like university campuses and schools. In this paper we study the resilience of our method by comparing and integrating the data collected in several European Campuses during two different academic years, 2014-15 and 2015-16. The overall results are: a) a more adequate and robust definition of the orthogonal multidimensional space of representation of the smartness, and b) the definition of a procedure to identify data that exhibits a limited level of trust.

No abstract

No abstract

No abstract

ResumoEste artigo tem como objetivo estudar as principais tendências, envolvendo variáveis portadoras de futuro, que irão influenciar a sociedade, as organizações e em especial as universidades no futuro. Ao longo do mesmo, apresentaremos uma retrospectiva histórica, as mudanças em curso e suas repercussões no ambiente das universidades e da UFSC na sua trajetória para 2022, ano em que o Brasil estará comemorando 200 anos de independência de Portugal, através de pesquisa bibliográfica e documental. Após a análise, sugere-se uma reflexão de como antecipar e preparar estratégias como conseqüência das variáveis elencadas, que facilitarão a tomada de decisão dos gestores, atuais e futuros, das universidades, de maneira geral e da UFSC, em particular, no enfrentamento desses novos desafios. Palavras-chave: Universidade, Prospecção, Cenários, Estratégias e Variáveis Portadoras de Futuro. IntroduçãoDe diferentes maneiras, futuro e passado, incluindo o presente, podem ser meras abstrações da mente humana no esforço de envolver-se com a realidade, instância mais complexa e indevassável do que pode parecer à primeira vista. Afinal, o tempo pode nem mesmo existir, segundo especulações que estão sendo feitas neste momento no campo da ciência, de acordo com dossiê tendências da Scientific American Brasil (2010).Independentemente das considerações acima enunciadas, a prospecção de cenários é um esforço da ciência em sondar o tempo, através de seus atores e de suas variáveis, no sentido de nos revelar as tendências que estão por serem observadas e

-This paper presents a preliminary model proposal for the analysis of video game level scenarios consisting of four elements: video game, players, metrics, and gaming experience. The selection of parameters from each of these elements defines a specific video game level analysis context. Initial validation of the model is being carried out with a First-person shooter video game and selected metrics (including eye movement behavior) to understand player behavior (both interactive and visual) within a game level. An additional analysis technique based on visual representation techniques applied in this validation context is also described. After validated, this model may be applied in the analysis of player behavior in game levels, in several different situations predicted in the model itself. Information acquired from the application of this model may posteriorly be used in the design (or redesign) of game levels and scenarios driven for optimal use which should generate a greater gaming experience.