No abstract

No abstract

The most common applications for human EEG research are: Neuromarketing, Human factors, Social interaction, Psychology and Neuroscience, Clinical and Psychiatric Studies and Brain Computer Interfaces (BCI). In the BCI research, the existence of software for the analysis of EEG signals is observed, however its functionality is limited to showing the signals and certain predefined characteristics, almost focused on the medical area, allowing a visual analysis by an expert, in addition to the fact that this software is developed depending on the signals to be analyzed and on the BCI itself. Therefore, for the development of BCIs, it is necessary for the developer to have software that allows him to visualize and analyze the EGG signals, in addition to being able to test and compare the interaction of users through the BCI, as well as his brain activity during the interaction and being able to observe the causes. In this context, we propose ViSA-EEG web application that allows BCI developers to visualize and analyze the EEG signals. This application was developed under a user-centered approach, involving the user in each of the four development phases and using different UX tools and techniques.

Brain Computer Interfaces – BCI allow users to communicate with the software system through cognitive functions measurable by brain signals, identified as Electroencephalography – EEG. User tests have been the most used method for usability evaluation of BCI software applications. In user tests, the data collected comes from the opinions of users through questionnaires, these tests require a lot of time, since they include not only performing interaction task and the application of the questionnaires, but also include placing and calibrating the EEG device. All this makes the evaluation process a very heavy task for the participants of the test and can mean that the data collected is not entirely reliable. That is why we are interested in including EEG signals in the usability evaluation process of applications with BCI software applications. Therefore, we present in this paper the result of the analysis of state of art in order to identify the relevant works in the area and future lines of research.