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Smartphone in Detecting Developmental Disability in Infancy: A Theoretical Approach to Shared Intentionality for Assessment Tool of Cognitive Decline and e-Learning

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Intelligent Computing (SAI 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 508))

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Abstract

The paper aims to create a concept design of further research for developing the digital tool to improve e-learning method. Specifically, one of its applications is a computerized assessment quiz for detecting developmental disabilities in infants online at the earliest stage. Notably, this smartphone app can detect a developmental delay at such an age when only proven behavioral markers are challenging since behavioral markers are based to a large extent on verbal communication. The theoretical approach to the problem discusses interaction modality at the onset of cognition from perspectives of communication theory, embodied dynamicism, and genetics. Newborns and even already fetuses demonstrate different social achievements, respectively–early imitation, other-race effect, facial attractiveness, distinguishing mother and stranger, other-species effect, preference of faces, recognition of other newborns crying, as well as twin fetuses co-movements, recognition of voices, emotion expression–which are not consistent with their cognitive and communicative abilities. The article discusses the Primary Data Entry (PDE) problem: what interaction modality provides acquiring initial social data at the beginning of life. How does shared intentionality emerge in organisms? This question can guide understanding interaction modality at the onset of cognition that is critical for many rapidly evolving knowledge domains, such as assessment tool of a developmental delay and advanced e-learning. This article is one of the first attempts to build a framework for a theoretical model of shared intentionality by discussing theoretical approaches and empirical data of intelligence and cognitive processes in interpersonal interaction.

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Authors and Affiliations

  1. Academic Center for Coherent Intelligence, Riga, Latvia

    Igor Val Danilov

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  1. Igor Val Danilov
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Correspondence to Igor Val Danilov .

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  1. Saga University, Saga, Japan

    Kohei Arai

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Val Danilov, I. (2022). Smartphone in Detecting Developmental Disability in Infancy: A Theoretical Approach to Shared Intentionality for Assessment Tool of Cognitive Decline and e-Learning. In: Arai, K. (eds) Intelligent Computing. SAI 2022. Lecture Notes in Networks and Systems, vol 508. Springer, Cham. https://doi.org/10.1007/978-3-031-10467-1_19

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