Frutos Pascual, MaiteGarcía-Zapirain, Begoña2026-02-252026-02-252015-05-12Frutos-Pascual, M., & Garcia-Zapirain, B. (2015). Assessing visual attention using eye tracking sensors in intelligent cognitive therapies based on serious games. Sensors (Switzerland), 15(5), 11092-11117. https://doi.org/10.3390/S1505110921424-822010.3390/S150511092https://hdl.handle.net/20.500.14454/5235This study examines the use of eye tracking sensors as a means to identify children’s behavior in attention-enhancement therapies. For this purpose, a set of data collected from 32 children with different attention skills is analyzed during their interaction with a set of puzzle games. The authors of this study hypothesize that participants with better performance may have quantifiably different eye-movement patterns from users with poorer results. The use of eye trackers outside the research community may help to extend their potential with available intelligent therapies, bringing state-of-the-art technologies to users. The use of gaze data constitutes a new information source in intelligent therapies that may help to build new approaches that are fully-customized to final users’ needs. This may be achieved by implementing machine learning algorithms for classification. The initial study of the dataset has proven a 0.88 (±0.11) classification accuracy with a random forest classifier, using cross-validation and hierarchical tree-based feature selection. Further approaches need to be examined in order to establish more detailed attention behaviors and patterns among children with and without attention problems.eng© 2015 by the authors; licensee MDPI, Basel, SwitzerlandAttentionChildrenEye trackerIntelligent therapiesSerious gamesjournal article2026-02-25