Longitudinal Analysis and Quantitative Assessment of Child Development through Mobile Interaction
arxiv(2024)
摘要
This article provides a comprehensive overview of recent research in the area
of Child-Computer Interaction (CCI). The main contributions of the present
article are two-fold. First, we present a novel longitudinal CCI database named
ChildCIdbLong, which comprises over 600 children aged 18 months to 8 years old,
acquired continuously over 4 academic years (2019-2023). As a result,
ChildCIdbLong comprises over 12K test acquisitions over a tablet device.
Different tests are considered in ChildCIdbLong, requiring different touch and
stylus gestures, enabling evaluation of skills like hand-eye coordination, fine
motor skills, planning, and visual tracking, among others. In addition to the
ChildCIdbLong database, we propose a novel quantitative metric called Test
Quality (Q), designed to measure the motor and cognitive development of
children through their interaction with a tablet device. In order to provide a
better comprehension of the proposed Q metric, popular percentile-based growth
representations are introduced for each test, providing a two-dimensional space
to compare children's development with respect to the typical age skills of the
population.
The results achieved in the present article highlight the potential of the
novel ChildCIdbLong database in conjunction with the proposed Q metric to
measure the motor and cognitive development of children as they grow up. The
proposed framework could be very useful as an automatic tool to support child
experts (e.g., paediatricians, educators, or neurologists) for early detection
of potential physical/cognitive impairments during children's development.
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