A New Computer-Aided Method for Assessing Children's Cognition in Bioengineering Systems for Diagnosing Developmental Delay

Igor Val Danilov, Araksia Svajyan, Sandra Mihailova
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引用次数: 1

Abstract

This 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.
在诊断发育迟缓的生物工程系统中评估儿童认知的计算机辅助新方法
这项初步研究(n = 19)检验了诊断3- 6岁儿童认知发展迟缓的新计算机辅助方法的保真率。小规模研究重复了前两项研究的方法组成部分,只是通过引入基线值(BV)改变了数据收集过程。实验数据显示,神经分化儿童的共同意向性程度显著增加9.4倍。研究结果支持了生物工程系统(计算机-母亲-孩子)可以通过模拟母亲-新生儿的交流模式来鼓励二人组共享意向性的假设。结果显示了共同意向性大小与儿童诊断之间的关联。然而,生物工程诊断范式和新的BV方法还需要更多的证据,因为试点研究在小样本中观察到的效果。初步研究通过9个标记评价了该方法的保真度。这表明了在进一步的大样本研究中测试这种新的BV方法的可行性(以及局限性)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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