Usability Evaluation of Brain Computer Interfaces: Analysis of State of Art
| Autor: | Yoselyn Nohemí Ortega-Gijón, Carmen Mezura-Godoy |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Proceedings of the Institute for System Programming of the RAS. 34:145-158 |
| ISSN: | 2220-6426 2079-8156 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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