Ciência da Computação
URI permanente desta comunidadehttps://repositorio.fei.edu.br/handle/FEI/342
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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.- Architectural design group decision-making in agile projects(2017-06-23) LOPES, S. V. F.; Plinio Thomaz Aquino Junior© 2017 IEEE.Software architecture has many definitions. One widely accepted definition of software architecture is that it is a composition of a set of architectural design decisions. Hence, designing a software architecture is a decision-making process. Agile methods drastically changed the way of designing a software architecture. In projects using agile methods (e.g. Scrum), making architectural design decisions is not the responsibility of a single person, but rather the whole development team. Despite the popularity of such methods in the industry, little research exists on how to make these decisions from the perspective of a group effectively. Current techniques usually focus on the identification of quality attributes and design alternatives, not addressing the whole decision-making process. The quality of decisions directly reflects the quality of the software architecture. Therefore poor decisions lead to bad software architectures. In this paper, we discuss current research on group decision-making in software architecture and the proposal of a combination of concepts from two architecture definition methods into a single approach that can be used in agile projects and addresses the most critical concerns of group decision-making. This proposal is part of a master's research project.
- Synthesizing 3D face shapes using tensor-based multivariate statistical discriminant methods(2011-11-14) MONOI, J.-L.; Plinio Thomaz Aquino Junior; GILLIES, D. F.We have implemented methods to reconstruct and model 3D face shapes and to synthesize facial expressions from a set of real human 3D face surface maps. The method employed tensor-based statistical shape modelling and statistical discriminant modelling methods. In the statistical shape modelling approach, new face shapes are created by moving the surface points along the appropriate expressive direction in the training set space. In the statistical discriminant model, new face shapes, such as facial expressions, can be synthesized by moving the surface points along the most discriminant direction found from the classes of expressions in the training set. The advantage of the tensor-based statistical discriminant analysis method is that face shapes of varying degrees can be generated from a small number of examples available in the 3D face shape datasets. The results of the reconstructions and synthesis of three-dimensional faces are illustrated in the paper. © 2011 Springer-Verlag.
- On source code completion assistants and the need of a context-aware approach(2017-07-09) ARREBOLA, F. V.; Plinio Thomaz Aquino Junior© Springer International Publishing AG 2017.Source code completion assistance is a popular feature in modern IDEs. However, despite their popularity, there is little research about their key characteristics and limitations. There is also little research about the way software developers interact with code completion assistants, especially when considering the different techniques assistants use to populate the list of possible completions. This paper presents a study about the features of currently available code assistants and an experiment targeting professional Java developers familiar with the Eclipse platform that aims to collect and interpret usage data of two popular code completion assistants during the execution of three programming tasks. Results indicate that half the interactions with code assistants are either dismissed, interrupted or the completion proposals displayed have no direct contribution to the completion of the programming task. In that sense, we argue that code assistants still have a long road to pursue, since they seem to diminish the importance of the ultimate goals of the task at hand and also lack the ability of identifying and exploring the concepts of context-aware computing theory. The results of this paper can drive future HCI research to the design of adaptive code completion assistants that are able to respond to end user behaviors and preferences.
- Dynamic Power Management on a Mobile Robot(2021-12-03) De Carvalho Techi R.; Plinio Thomaz Aquino Junior© 2021 IEEE.Mobile robots must operate autonomously for sev-eral hours without interruption in battery charging. Energy optimization systems and methods are essential for the applicability of this technology. Dynamic Power Management (DPM) has the objective to reduce a system's total energy demand, through idleness exploitation. If the equipment is not in use, its energy dissipation should be as low as possible. This work presents the existing DPM methods analysis, systems requirements to make it eligible for the DPM, and also the management applicability analysis on a mobile robot.
- Patterns de interface em PDA: Aplicação em coleta de dados de usabilidade(2005-10-23) Plinio Thomaz Aquino Junior; FILGUEIRAS, L. V. L.; DE OLIVEIRA, E. C.; BELLO, T. R.This poster describes interface patterns for PDA defined from usability studies at application developed from Usability Engineering Laboratory. The applications usability studies generated 15 interface patterns for PDA, with propose to create reliability during usability tests in Laboratory. When using defined patterns, it was gotten efficiency during the execution of the application.
- 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.
- Behavioural variables analysis in mobile environments(2015-08-02) MARCZAL, D.; Plinio Thomaz Aquino Junior© Springer International Publishing Switzerland 2015.Due to the recent proliferation of mobile applications, it has become essential to obtain a better understanding of how people use their devices and applications. However, it is not always possible to reproduce the chaotic environment where the interactions between users and applications take place. Based on this fact, the present study presents a mechanism for the collection and connection of variables of interaction (touches, navigation between screens, etc.) and variables of mobility (sensor data, such as GPS), by the means of an experiment performed in the application made available at application stores and used by real users, performing daily tasks. With the analysis of the data collected it is expected to understand user behavior during interaction and determine usage patterns associating the variables of mobility with the variables of inter- action that provide new ideas for interface projects.
- 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.
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