Desarrollo de un modelo de calidad en uso y de producto de sistemas que utilizan interfaces cerebro-computador (Brain Computer Interface)

Abstract

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.