Brain Signal Analysis for Attention Level Detection in Digital Games

• Carla Estefany Caetano Silva UFF
• Daniela Gorski Trevisan UFF
• Débora Christina Muchaluat Saade UFF

DOI: https://doi.org/10.5753/sbcas.2025.7576

Abstract

This study proposes the use of brain signals for detection and analysis of focus of attention in 4 games using mouse and touchpad. The approach used uses the Bitalino device to capture brain waves and Wavelet decompositions and spectrogram analysis to detect different levels of attention. Results identified a mean baseline reference of 55% and indicated that games without a time limit helped to increase the attention of the participants over time, while others had difficulty maintaining focus, regardless of the device used. The findings highlight the possibility of designing interactive technologies that foster greater engagement and consider the natural dynamics of human attention.

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