This study proposes a characterization of quality attributes for applications that use augmented reality. This classification is done from the perspective of the user experience. The attribute identification was based on primary studies of the IEEE Xplore, Scopus, and ACM repositories. From an initial set of 1165 papers, 101 documents were selected. The document proposes two categories: objective and subjective. In the objective category 4 subcategories and 40 attributes were found, and in the subjective one 5 subcategories and 54 attributes were found. This is the first time that all these criteria are presented in a single document, which is the input for designing a comprehensive quality assurance tool for user experience in augmented reality.

In recent years, Blockchain has become a disruptivetechnology to protect the integrity of information, especially inopen and collaborative information systems. Its main advantageis the possibility to reach consensus on the new data blocks tobe added to the chain, even with anonymous actors. The mostcommon consensus mechanism is Proof of Work, but it has beenproven to be very inefficient in terms of energy spent by themembers of the blockchain. In the literature there are many othertechniques that pretend to become the new popular mechanism.However, the number of this techniques is growing too fast toreally be able to differentiate among all the options. In this work,a new characterization of consensus algorithm is proposed, thatcan be used to find families of mechanism using cluster-basedclassification. Using the Ward Method and Spearmans RankCorrelation analysis, new clusters of consensus mechanisms wereidentified. The results describe the behavioral patterns not seenbefore in the literature. In addition, some open problems ofcurrent consensus algorithms are discussed.

This study proposes a combined framework of multicriteria decision methods to describe, prioritize, and group the quality attributes related to the user experience of augmented reality applications. The attributes were identified based on studies of high-impact repositories. A hierarchy of the identified attributes was built through the multicriteria decision methods Fuzzy Cognitive Maps and DEMATEL. Additionally, a statistical analysis of clusters was developed to determine the most relevant attributes and apply these results in academic and industrial contexts. The main contribution of this study was the categorization of user-experience quality attributes in augmented reality applications, as well as the grouping proposal. Usability, Satisfaction, Stimulation, Engagement, and Aesthetics were found to be among the most relevant attributes. After carrying out the multivariate analysis, two clusters were found with the largest grouping of attributes, oriented to security, representation, social interaction, aesthetics, ergonomics of the application, and its relationship with the user’s emotions. In conclusion, the combination of the three methods helped to identify the importance of the attributes in training processes. The holistic and detailed vision of the causal, impact, and similarity relationships between the 87 attributes analyzed were also considered. This framework will allow the generation of a baseline for the use of multicriteria methods in research into relevant aspects of Augmented Reality.

Este artículo presenta los resultados de un estudio comparativo que busca identificar los mejores marcos de trabajo para utilizar el paradigma de programación orientado a aspectos POA. Se identificaron marcos de trabajo en 3 lenguajes de programación y se establecieron criterios de evaluación para la comparación. Para cada uno de estos criterios se identificaron las métricas que hicieron posible cuantificarle cumplimiento o no del criterio de comparación. El estudio se realizó con el apoyo de múltiples equipos de desarrollo divididos en dos clases:1) investigadores con experiencia previa en programación orientada a aspectos y 2) desarrolladores de software sin experiencia previa en programación orientada a aspectos. Los dos equipos implementaron el mismo conjunto de componentes en cada uno de los marcos seleccionados. El estudio evidenció que las ventajas de POA no se hacen tan evidentes en desarrollos que utilicen marcos de trabajo que soporten este paradigma.