A compass towards equity: a data analysis framework to capture children’s behaviour in the playground context

Abstract

Playgrounds help children develop essential physical and social skills through playing and socializing with their peers and supervisors. However, playgrounds may also include obstacles that hinder children’s development, specifically for those with communication difficulties. Addressing these challenges requires a deep understanding of children’s needs in playground settings.

By adopting wearable sensing technology, we aimed to design a data analysis framework and deepen our knowledge of children’s behavior in playgrounds. Developing a practical playground analysis framework requires addressing three main characteristics of playgrounds: multiple interconnected environments, differences in individual experiences, and spatio-temporal dynamics.

The present dissertation integrates cutting-edge technological advancements with multidisciplinary collaboration to design a framework for analyzing children’s behavior in playgrounds. This framework offers stakeholders a valuable tool for analyzing individual and group-level challenges in micro-communities, such as schoolyards, nursing homes, and sports clubs.

Representation modelsSpatio-temporal data analysisWearable dataSocial inclusionPlaygrounds