Towards Safer Routes: Exploring the Potential of Artificial Intelligence and Augmented Reality in Children's School Commuting Environment Design

Abstract

Augmented reality technology is characterised by its mobile, practical, multimodal, and data-driven trend. This paper presents a design framework that employs AI and augmented reality technologies to address an entire process of intelligent perception and design intervention for mitigating risks in children's school commuting environments. For intelligent perception section, 617 accident news texts were used for training purposes utilising natural language processing (NLP) and machine learning techniques. As a result, 6 influential characteristics related to children's school commuting environment (Time, road type, surrounding features, area functional type, user, age type and connection type). The prediction model holds 3 severity degrees and covers 6 types of incidents. For design intervention section, design strategies and techniques are defined based on various degrees. The prototype is designed using a mobile augmented reality device and a smart watch as design touchpoints.

Keywords: Augmented Reality, Artificial Intelligence, School Commute, Environment Design, Safety

DOI: 10.54941/ahfe1004659