Browsing by Author "Moreira Jara, Christian Alexander"

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Desarrollo de un modelo de calidad en uso y de producto de sistemas que utilizan interfaces cerebro-computador (Brain Computer Interface)
(Universidad de Cuenca, 2022-09-06) Cobos Quinde, Juan Manuel; Moreira Jara, Christian Alexander; Cedillo Orellana, Irene Priscila
Currently, technology has become a fundamental part of everyone's daily life, with it, different ways of interacting with the user have been discovered. Among the most innovative forms of human-computer interaction are those in which brain-computer interaction is involved, and in recent years brain-computer interaction has gained importance thanks to devices that promote brain-computer interfaces (BCI-Brain Computer Interfaces); since, with this interaction, science seeks to provide help to those people who suffer from certain disabilities that make it difficult for them to interact with the environment. However, by implementing applications with these interfaces, the quality of life of these people is improved, by allowing them to interact with their environment through the brain. For this reason, Brain Computer Interface has gained interest in various parts of the world, in several countries new systems focused on this type of interaction technology are being developed; since the main objective of a BCI system is to create a specialized connection that allows the user to have control over different devices, for example: computers, neurological prostheses, voice-producing technologies, etc. The present titling work proposes a new method to evaluate the quality in use and of the product, existing in the BCI systems, which has the name of BCIS-QUAM. Said evaluation method uses a quality model, elaborated from a systematic review, where some aspects are analyzed that allow understanding the scientific advance in this area of science and in this way, achieve a correct evaluation of the BCI system. Finally, to show the feasibility of the proposed method, a system based on braincomputer interaction interfaces was developed, which was used in a quasi-experiment to test the feasibility of the proposed solution. The evaluation method has software engineers as its target audience, whose population has been sought to represent with 20 software engineers, as a form of initial evaluation of the method, however, in future works it is sought to reach a greater number of subjects. The participants were prepared with the necessary knowledge to develop the quasi-experiment; resulting in the evaluation method being easy to use, useful and generating an intention to use in the future. In addition, information was obtained for future work.
Evaluating the usability in domain-specific languages
(Universitat Politècnica de València, 2021) Moreira Jara, Christian Alexander; Cedillo Orellana, Irene Priscila; Sánchez Zhunio, Bertha Cristina; Valdez Solis, Wilson Fernando; Cobos Quinde, Juan Manuel
Domain-Specific Languages (DSL) represent software abstractions that provide semantic to a specific class or domain. DSLs use the concepts and rules from the field or domain to strengthen ties between the domain expert and the technology. Although several DSLs are modeled by considering quality features, most do not have high-quality characteristics related to their usability or do not address them. However, this characteristic constitutes a key aspect for software engineers and domain experts while designing their solutions. Therefore, this paper presents a usability quality model for DSLs aligned to the ISO / IEC 25010 standard and an evaluation model based on the ISO / IEC 25040 standard. Finally, the evaluation method was applied in order to show its feasibility by a case study that addresses the use of two DSLs (related to Ambient Assisted Living and Cloud Computing domain) and assesses their usability.
Use and product quality of brain-computer interface (BCI) systems: a systematic literature review
(Springer Science and Business Media Deutschland GmbH, 2022) Moreira Jara, Christian Alexander; Cárdenas Delgado, Paúl Esteban; Cedillo Orellana, Irene Priscila; Cobos Quinde, Juan Manuel
This study presents a systematic review of the literature related to the quality of Brain-Computer Interface (BCI) systems. The main objective of this systematic literature review is to analyze relevant information and what attributes and quality characteristics are used when evaluating the quality of BCI systems. Moreover, some related works are described to contextualize the contribution of this research. In addition, selection and extraction criteria were established to develop this review. In this way, the results showed that Brain-Computer Interface is a comprehensive branch of computer science. Therefore, it has become of great interest and importance in the research field in both industries and academia. Besides, it can be concluded that the most used quality characteristics are efficiency and usability. Finally, it was identified that creating a model quality that covers a research gap in this field is necessary to improve BCI systems quality