An Educational Game to Teach Children about Air Quality Using Augmented Reality and Tangible Interaction with Sensors

Int J Environ Res Public Health. 2023 Feb 21;20(5):3814. doi: 10.3390/ijerph20053814.

Abstract

Air pollution is known to be one of the main causes of injuries to the respiratory system and even premature death. Gases, particles, and biological compounds affect not only the air we breathe outdoors, but also indoors. Children are highly affected by the poor quality of the air they breathe because their organs and immune systems are still in the developmental stages. To contribute to raising children's awareness to these concerns, this article presents the design, implementation, and experimental validation of an serious augmented reality game for children to playfully learn about air quality by interacting with physical sensor nodes. The game presents visual representations of the pollutants measured by the sensor node, rendering tangible the invisible. Causal knowledge is elicited by stimulating the children to expose real-life objects (e.g., candles) to the sensor node. The playful experience is amplified by letting children play in pairs. The game was evaluated using the Wizard of Oz method in a sample of 27 children aged between 7 and 11 years. The results show that the proposed game, in addition to improving children's knowledge about indoor air pollution, is also perceived by them as easy to use and a useful learning tool that they would like to continue using, even in other educational contexts.

Keywords: air quality; augmented reality; child–computer interaction; educational games; serious games; tangible interaction.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Air Pollution*
  • Air Pollution, Indoor*
  • Augmented Reality*
  • Child
  • Educational Status
  • Humans
  • Schools

Grants and funding

This work was developed within the ExpoLIS project, funded by FEDER, through Programa Operacional Regional de Lisboa (LISBOA-01-0145-FEDER-032088), and by national funds (OE), through Fundação para a Ciência e a Tecnologia (FCT), I.P., Portugal (PTDC/EAM-AMB/32088/2017). Part of this work was also supported by FCT under ISTAR projects UIDB/04466/2020 and UIDP/04466/2020 and C2TN projects UIDB/04349/2020 and UIDP/04349/2020.