Please use this identifier to cite or link to this item: 10.21926/obm.neurobiol.2304189
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dc.contributor.authorDanilov, Igor Val.-
dc.contributor.authorSvajyan, Araksia-
dc.contributor.authorMihailova, Sandra-
dc.date.accessioned2023-11-22T14:25:01Z-
dc.date.available2023-11-22T14:25:01Z-
dc.date.issued2023-
dc.identifier.citationDanilov , I V , Svajyan , A & Mihailova , S 2023 , ' A New Computer-Aided Method for Assessing Children's Cognition in Bioengineering Systems for Diagnosing Developmental Delay ' , OBM Neurobiology , vol. 7 , no. 4 , 189 . https://doi.org/10.21926/obm.neurobiol.2304189-
dc.identifier.issn2573-4407-
dc.identifier.otherMendeley: c202eadc-f555-3ec1-818b-db422acaae43-
dc.identifier.urihttps://dspace.rsu.lv/jspui/handle/123456789/14971-
dc.description.abstractThis pilot study (n = 19) examines fidelity rates of the new computer-aided method of diagnosing cognitive development delay in 3-to-6-year-old children. The small-scale research repeats the methodological components of the previous two studies, only changing the data collection process by introducing the baseline value (BV). Experimental data show a significant increase of 9.4 times in the shared intentionality magnitude in neurodivergent children. The results support the hypothesis that the bioengineering system (computer-mother-child) can encourage shared intentionality in the dyad by emulating the mother-newborn communication model. The outcome shows the association between the shared intentionality magnitude and children's diagnosis. However, the bioengineering diagnostic paradigm and the new BV method still need more evidence since the pilot study observes the effect in a small sample size. The pilot study evaluates the fidelity rates of this new BV method through nine markers. It shows the feasibility (with the limitations) of testing this new BV method in further research with a large sample size.en
dc.format.extent15-
dc.format.extent560764-
dc.language.isoeng-
dc.relation.ispartofOBM Neurobiology-
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.subjectbrain-computer interaction-
dc.subjectShared intentionality-
dc.subjectdevelopmental delay-
dc.subjectcomputer-aided assessment;-
dc.subject5.1 Psychology-
dc.subject1.2 Computer and information sciences-
dc.subject1.3 Physical sciences-
dc.subject5.3 Educational sciences-
dc.subject1.1. Scientific article indexed in Web of Science and/or Scopus database-
dc.subjectGeneral Psychology-
dc.titleA New Computer-Aided Method for Assessing Children's Cognition in Bioengineering Systems for Diagnosing Developmental Delayen
dc.type/dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/systematicreview-
dc.identifier.doi10.21926/obm.neurobiol.2304189-
dc.contributor.institutionRīga Stradiņš University-
dc.identifier.urlhttps://www.lidsen.com/journals/neurobiology/neurobiology-07-04-189-
dc.identifier.urlhttps://www.mendeley.com/catalogue/c202eadc-f555-3ec1-818b-db422acaae43/-
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85181963227&partnerID=8YFLogxK-
dc.description.statusPeer reviewed-
Appears in Collections:Research outputs from Pure / Zinātniskās darbības rezultāti no ZDIS Pure



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