Ciência da Computação
URI permanente desta comunidadehttps://repositorio.fei.edu.br/handle/FEI/342
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Resultados da Pesquisa
Artigo de evento 0 Citação(ões) na Scopus Expanding personas: How to improve knowledge about users(2013-07-22) MASIERO, A. A.; DESTRO, R. C.; CURIONI, O. A.; Plinio Thomaz Aquino JuniorPersona addresses one of the first challenges created by user-centered design, the creation of users profile to be used in the first design of user interface. This paper proposes a continuous process to evaluate and improve created personas, using additional information collected through interviews and dedicated software on each design interaction, to expand the knowledge about each persona, which means, the knowledge about the system users. The improvement on Expanded Persona was verified on a medical system developed by authors' team.- Automatic interface optimization through random exploration of available elements(2013-08-05) FERREIRA, L. A.; MASIERO, A. A.; Plinio Thomaz Aquino Junior; DA COSTA BIACHI, R. A.The Keystroke-Level Model (KLM) is an interface evaluation method that use as metric the time needed to perform an executed action to complete a given task. The description used in KLM is very similar to the formalism that Markov Decision Process (MDP) uses to describe a domain, in which an artificial agent must perform a sequence of actions in order to solve a problem. This work presents a way to model a user's interaction with an interface using MDP combined with KLM in order to optimize a set of parameters and find the best set of interface components for a user. Results show that by changing the metrics of the KLM, the MDP finds different solutions that may be combined to generate an interface tailored for a given user. © 2013 ACM.
- Motor imagery recognition and its cerebral mapping(2014) Castro, M.C.F.; MASIERO, A. A.; ROCHA, F. T.; Plinio Thomaz Aquino JuniorThis paper proposes to relate a Linear Discriminant Analysis Classification based system with Quality Similarity Clustering process and a Brain Mapping Technique in order to clarify the brain activity differences that could sustain the better classification rates between each of the Motor Imagery (MI-flex right arm, flex left arm, close right hand, close left hand). To achieve this goal the Eletroencephalogram (EEG) entropy was used as principal feature and a Principal Component Analyses (PCA) was also used. EEG signal, from each of the 8-channel transversal set up, was acquired from electrodes Fz, Cz, Pz and Oz to electrodes F3, F4, C3, C4, P3, P4, O1, and O2. Results showed that for each MI there is an specific topographic distribution of the cortex activation. A common point was the minor activation of the motor area. The principal areas were the frontal and the parietal ones. The clustering analysis showed, considering 20% of similarity, that the points which possibly contribute to motor imagery recognition came from those areas. Furthermore, the best results in the classification process were reached to distinguish between left arm and left hand with 89.74% and between arms and hands with 80.77%. Both of these scenes were possible using only the information provided by the frontal electrodes, and this agree with brain mapping. The activation of frontal and parietal lobes reflects the network involved in sensory-motor integration (posterior parietal), decision-making (prefrontal) and preparation of motor response (premotor). Our finding that the frontal electrodes were the most representative may be related to the fact that the premotor cortex is responsible for motor planning and thus, should be the most active area in distinguishing between different motor movements. © 2014 IEEE.
- Creating personas to reuse on diversified projects(2015-08-15) MASIERO, A. A.; Plinio Thomaz Aquino Junior© Springer International Publishing Switzerland 2015.This paper presents an automatized creation process for Personas user modeling focus on minimize stereotyping and to increase Persona’s reuse on many different projects. This creation process has focus on similarity and automation which, are some main issues of variation from project to project. We discuss this process applying it on two different projects. First is a medical web system (HCI-M) and the second one is a human-robot interaction project with Sony AIBO pet robot (HRI-P). Results show that the process makes possible to minimize the stereotyping and also we reuse Personas from project HCI-M to help us on planning phase of project HRI-P which, turns it practicable.
Artigo Anti-patterns apoiando a documentação dos problemas de usabilidade(2008) MASIERO, A. A.; LOPES, G.; GONÇALVES, M. H.; AQUINO JUNIOR, Plinio ThomazEste artigo descreve uma metodologia para documentação de barreiras encontradas em interfaces. A partir de uma avaliação realizada em qualquer interface é possível documentar estas barreiras utilizando o conceito de anti-patterns, gerando uma base de conhecimento para evitar re-trabalhos futuros e auxiliar no design de interfaces