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.

中文翻译：

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ChildCIdbLong：纵向儿童计算机交互数据库和儿童发展的定量分析

本文全面概述了儿童计算机交互 (CCI) 领域的最新研究。本文的主要贡献有两个方面。首先，我们提出了一个名为 ChildCIdbLong 的新型纵向 CCI 数据库，该数据库包含 600 多名 18 个月至 8 岁的儿童，在 4 个学年（2019-2023）内连续获取。因此，ChildCIdbLong 在平板电脑设备上包含超过 12K 的测试采集。 ChildCIdbLong 考虑了不同的测试，需要不同的触摸和手写笔手势，从而能够评估手眼协调、精细运动技能、规划和视觉跟踪等技能。除了 ChildCIdbLong 数据库之外，我们还提出了一种称为测试质量 (Q) 的新型定量指标，旨在通过儿童与平板设备的交互来衡量儿童的运动和认知发展。为了更好地理解所提出的 Q 指标，每个测试都引入了流行的基于百分位数的增长表示，提供了一个二维空间来比较儿童的发展与人口的典型年龄技能。本文取得的结果凸显了新型 ChildCIdbLong 数据库与提出的 Q 指标相结合来衡量儿童成长过程中的运动和认知发展的潜力。所提出的框架作为一种自动工具非常有用，可以支持儿童专家（例如儿科医生、教育工作者或神经科医生）及早发现儿童发育过程中潜在的身体/认知障碍。