Behavioural Informatics for Improving Water Hygiene Practice based on IoT Environment

Fu, Yang and Wu, Wenyan (2017) Behavioural Informatics for Improving Water Hygiene Practice based on IoT Environment. Journal of Biomedical Informatics, 78 (2018). pp. 156-166. ISSN 1532-0464

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Abstract

The development of Internet of Things (IoT) and latest Information and Communication Technologies (ICT) have changed the nature of healthcare monitoring and health behaviour intervention in many applications. Water hygiene and water conservation behaviour intervention as important influence factors to human health are gaining much attentions for improving sustained sanitation practice. Based on face-to-face delivery, typical behaviour intervention method is costly and hardly to provide all day access to personalised intervention guidance and feedbacks. In this study, we presented a behavioural information system and water use behaviour model using IoT platform. Using Expanded Theory of Planned Behaviour (ETPB) and adopted structure equation model, this study offers a solution for understanding the behaviour intervention mechanism and methodology for developing empirical model. A case study of behaviour intervention model is presented by utilising residential water conservation behaviour data collected in China. Results suggested that cultural differences have significant influences on the understanding of intervention drivers, promoting projects and increasing awareness, which could improve the behaviour intervention efficiency and further facilitate the improvement of water hygiene practice. The performance evaluation of water saving dimension is discussed as well in the paper

Item Type: Article
Uncontrolled Keywords: Internet of things; Behavioural informatics, intervention; Behaviour modelling; Theory of planned behaviour
Subjects: G500 Information Systems
H100 General Engineering
Divisions: Faculty of Computing, Engineering and the Built Environment > School of Engineering and the Built Environment
Depositing User: Wenyan Wu
Date Deposited: 18 May 2018 14:54
Last Modified: 31 May 2018 13:28
URI: http://www.open-access.bcu.ac.uk/id/eprint/5419

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