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Attention Analysis in Robotic-Assistive Therapy for Children with Autism

2024Artigo científico Acesso aberto
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dc.contributor.authorSilva, Bárbara
dc.contributor.authorSantos, Laura
dc.contributor.authorBarata, Catarina
dc.contributor.authorGeminiani, Alice
dc.contributor.authorFassina, Gabriele
dc.contributor.authorRita Gonzalez, Ana
dc.contributor.authorFerreira, Sara
dc.contributor.authorBarahona-Corrêa, Bernardo
dc.contributor.authorOlivieri, Ivana
dc.contributor.authorPedrocchi, Alessandra
dc.contributor.authorSantos-Victor, José
dc.contributor.institutionNOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
dc.contributor.pblInstitute of Electrical and Electronics Engineers (IEEE)
dc.date.accessioned2024-07-11T22:19:56Z
dc.date.available2024-07-11T22:19:56Z
dc.date.issued2024
dc.description.abstractChildren with Autism Spectrum Disorder (ASD) show severe attention deficits, hindering their capacity to acquire new skills. The automatic assessment of their attention response would provide the therapists with an important biomarker to better quantify their behaviour and monitor their progress during therapy. This work aims to develop a quantitative model, to evaluate the attention response of children with ASD, during robotic-assistive therapeutic sessions. Previous attempts to quantify the attention response of autistic subjects during human-robot interaction tasks were limited to restrained child movements. Instead, we developed an accurate quantitative system to assess the attention of ASD children in unconstrained scenarios. Our approach combines gaze extraction (Gaze360 model) with the definition of angular Areas-of-Interest, to characterise periods of attention towards elements of interest in the therapy environment during the session. The methodology was tested with 12 ASD children, achieving a mean test accuracy of 79.5 %. Finally, the proposed attention index was consistent with the therapists' evaluation of patients, allowing a meaningful interpretation of the automatic evaluation. This encourages the future clinical use of the proposed system.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent10
dc.format.extent1678550
dc.identifier.doi10.1109/TNSRE.2024.3411299
dc.identifier.issn1534-4320
dc.identifier.otherPURE: 94848621
dc.identifier.otherPURE UUID: e60f0390-ba1a-4b8b-813a-13768043d0a5
dc.identifier.otherScopus: 85195394431
dc.identifier.otherPubMed: 38848230
dc.identifier.urihttp://hdl.handle.net/10362/169560
dc.identifier.urlhttps://www.scopus.com/pages/publications/85195394431
dc.language.isoeng
dc.peerreviewedyes
dc.subjectAttention
dc.subjectAutism spectrum disorder
dc.subjectGaze tracking
dc.subjectsocial-assistive robots
dc.subjectInternal Medicine
dc.subjectGeneral Neuroscience
dc.subjectBiomedical Engineering
dc.subjectRehabilitation
dc.titleAttention Analysis in Robotic-Assistive Therapy for Children with Autismen
dc.typejournal article
degois.publication.firstPage2220
degois.publication.lastPage2229
degois.publication.titleIEEE Transactions on Neural Systems and Rehabilitation Engineering
degois.publication.volume32
dspace.entity.typePublication
rcaap.rightsopenAccess

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