Dr Rameez Kureshi R.Kureshi@hull.ac.uk
Lecturer and Programme Director of online MSc - Artificial Intelligence
Digital Health and Indoor Air Quality: An IoT- Driven Human-Centred Visualisation Platform for Behavioural Change and Technology Acceptance
Kureshi, Rameez Raja; Mazumdar, Suvodeep; Mishra, Bhupesh Kumar; Li, Xiao; Thakker, Dhavalkumar
Authors
Suvodeep Mazumdar
Dr Bhupesh Mishra Bhupesh.Mishra@hull.ac.uk
Lecturer
Xiao Li
Professor Dhaval Thakker D.Thakker@hull.ac.uk
Professor of Artificial Intelligence(AI) and Internet of Things(IoT)
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 COMB 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.
Citation
Kureshi, R. R., Mazumdar, S., Mishra, B. K., Li, X., & Thakker, D. (2023, December). Digital Health and Indoor Air Quality: An IoT- Driven Human-Centred Visualisation Platform for Behavioural Change and Technology Acceptance. Presented at 4th International Conference on Distributed Sensing and Intelligent Systems (ICDSIS 2023), Dubai, UAE
| Presentation Conference Type | Conference Paper (published) |
|---|---|
| Conference Name | 4th International Conference on Distributed Sensing and Intelligent Systems (ICDSIS 2023) |
| Start Date | Dec 21, 2023 |
| End Date | Dec 23, 2023 |
| Acceptance Date | Nov 1, 2023 |
| Online Publication Date | Aug 30, 2024 |
| Publication Date | Aug 30, 2024 |
| Deposit Date | May 20, 2024 |
| Publicly Available Date | Jan 3, 2025 |
| Publisher | Institute of Electrical and Electronics Engineers |
| Peer Reviewed | Peer Reviewed |
| Pages | 104-113 |
| DOI | https://doi.org/10.1049/icp.2024.0471 |
| Keywords | IAQ; Behavioural Change; User-centric platform; IoT; Raising Awareness; TAM |
| Public URL | https://hull-repository.worktribe.com/output/4670705 |
Files
Accepted manuscript
(689 Kb)
PDF
Copyright Statement
© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
You might also like
Devising a Responsible Framework for Air Quality Sensor Placement
(2024)
Presentation / Conference Contribution
Evaluating Asthma Symptoms in Relation to Indoor Air Quality: Insights from IoT-enabled Monitoring
(2024)
Presentation / Conference Contribution
Downloadable Citations
About Repository@Hull
Administrator e-mail: repository@hull.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search