Digital Health and Indoor Air Quality: An IoT-Driven Human-Centred Visualisation Platform for Behavioural Change and Technology Acceptance

TL;DR

This paper introduces an IoT-based visualisation platform leveraging digital health and citizen science to improve indoor air quality and promote behavioural change, while analyzing user acceptance through the TAM framework.

Contribution

It presents a novel human-centred digital platform integrating IoT, citizen science, and TAM to enhance IAQ awareness and influence user behaviour.

Findings

Human behaviour significantly impacts IAQ.

The platform increased user awareness and engagement.

Users accepted and adopted the technology effectively.

Abstract

The detrimental effects of air pollutants on human health have prompted increasing concerns regarding indoor air quality (IAQ). The emergence of digital health interventions and citizen science initiatives has provided new avenues for raising awareness, improving IAQ, and promoting behavioural changes. The Technology Acceptance Model (TAM) offers a theoretical framework to understand user acceptance and adoption of IAQ technology. This paper presents a case study using the COM-B model and Internet of Things (IoT) technology to design a human-centred digital visualisation platform, leading to behavioural changes and improved IAQ. The study also investigates users' acceptance and adoption of the technology, focusing on their experiences, expectations, and the impact on IAQ. Integrating IAQ sensing, digital health-related interventions, citizen science, and the TAM model offers opportunities to address IAQ challenges, enhance public health, and foster sustainable indoor environments. The analytical results show that factors such as human behaviour, indoor activities, and awareness play crucial roles in shaping IAQ.