title: Assessing visual attention using eye tracking sensors in intelligent cognitive therapies based on serious games.
abstract: This 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.
authors.affiliation: DeustoTech Life [eVIDA] Faculty of Engineering University of Deusto, Avda de las Universidades 24, Bilbao 48015, Spain. maitefrutos@deusto.es.
authors.forename: Maite
authors.initials: M
authors.lastname: Frutos-Pascual
authors.affiliation: DeustoTech Life [eVIDA] Faculty of Engineering University of Deusto, Avda de las Universidades 24, Bilbao 48015, Spain. mbgarciazapi@deusto.es.
authors.forename: Begonya
authors.initials: B
authors.lastname: Garcia-Zapirain
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D001288:Attention / Q000502:physiology*; D002648:Child; D015928:Cognitive Behavioral Therapy / Q000379:methods*; D005133:Eye Movements / Q000502:physiology*; D005260:Female; D005403:Fixation, Ocular / Q000502:physiology*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008297:Male; D018910:Video Games
keywords: attention; children; eye tracker; intelligent therapies; serious games