Assessing visual attention using eye tracking sensors in intelligent cognitive therapies based on serious games

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dc.contributor.authorFrutos Pascual, Maite
dc.contributor.authorGarcía-Zapirain, Begoña
dc.date.accessioned2026-02-25T11:26:55Z
dc.date.available2026-02-25T11:26:55Z
dc.date.issued2015-05-12
dc.date.updated2026-02-25T11:26:55Z
dc.description.abstractThis 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.en
dc.identifier.citationFrutos-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/S150511092
dc.identifier.doi10.3390/S150511092
dc.identifier.issn1424-8220
dc.identifier.urihttps://hdl.handle.net/20.500.14454/5235
dc.language.isoeng
dc.publisherMDPI AG
dc.rights© 2015 by the authors; licensee MDPI, Basel, Switzerland
dc.subject.otherAttention
dc.subject.otherChildren
dc.subject.otherEye tracker
dc.subject.otherIntelligent therapies
dc.subject.otherSerious games
dc.titleAssessing visual attention using eye tracking sensors in intelligent cognitive therapies based on serious gamesen
dc.typejournal article
dcterms.accessRightsopen access
oaire.citation.endPage11117
oaire.citation.issue5
oaire.citation.startPage11092
oaire.citation.titleSensors (Switzerland)
oaire.citation.volume15
oaire.licenseConditionhttps://creativecommons.org/licenses/by/4.0/
oaire.versionVoR
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