Akademik Veri Yönetim Sistemi
2025 Innovations in Intelligent Systems and Applications Conference, ASYU 2025, Bursa, Türkiye, 10 - 12 Eylül 2025, (Tam Metin Bildiri)
Nowadays, Brain-Computer Interfaces (BCIs) stand out as a technology that allows users to interact with technology more effectively and naturally using brain signals and are widely used in many different fields from education to entertainment. These systems, which can be created using various methods such as EEG, MEG, fMRI, allow users to interact directly with the devices and can also measure mood or attention levels. In this study, the Sudoku game, which is traditionally used to develop attention, was integrated with an EEG-based BCI system to analyze the user's attention level based on EEG data. A feedback mechanism was developed that provides a warning when the user's attention level decreases and a hint when it increases, as determined from the EEG signals recorded with the Emotiv Epoc X EEG headset. A user study was conducted to evaluate the functionality and potential impact of this system on users. The findings revealed that the warnings provided during the use of the system increased the attention level of the users by 88.5 %. It was also found that the system provided an acceptable level of interaction in terms of user experience. These results suggest that EEG-based systems can provide potential benefits in attention management.