Predicting household water use behaviour for improved hygiene practices in internet of things environment via dynamic behaviour intervention model

Fu, Yang and Wu, Wenyan (2016) Predicting household water use behaviour for improved hygiene practices in internet of things environment via dynamic behaviour intervention model. IET Networks, 5 (5). pp. 143-151. ISSN 2047-4954

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Abstract

Recent advances in Internet of Things (IoT) enabled technologies allow the intelligent sensor systems to
effectively and efficiently observe and identify human behaviour in many applications, particularly in energy
consumption and healthcare sectors. One typical case is that how to use IoT technologies to understand human water use behaviour for improved and sustained hygiene practice. Traditionally, static behaviour intervention models are widely utilised to simulate behaviour intervention process over time. These static methods can predict targeted human behaviour reasonably well, but lack of capabilities on understanding and responding behaviour change process in IoT environments. In this study, the authors proposed a dynamic behaviour intervention model for predicting household water user behaviour for improved hygiene practices. This model is based on an expanded theory of planned behaviour (ETPB), and adopted structure equation model approach and control engineering concept. A case study of household water consumption model using artificial neural network is utilised to evaluate intervention trend of proposed ETPB dynamic behaviour model with system parameter identification. The ETPB dynamic model has been proved to be effective for modelling human behaviour intervention process.

Item Type: Article
Identification Number: https://doi.org/10.1049/iet-net.2015.0111
Dates:
DateEvent
13 October 2016Published
20 April 2016Accepted
Uncontrolled Keywords: water consumption behaviour, modelling and prediction
Subjects: CAH10 - engineering and technology > CAH10-01 - engineering > CAH10-01-01 - engineering (non-specific)
Divisions: Faculty of Computing, Engineering and the Built Environment
Faculty of Computing, Engineering and the Built Environment > School of Engineering and the Built Environment
Faculty of Computing, Engineering and the Built Environment > School of Engineering and the Built Environment > School of Engineering
Depositing User: Wenyan Wu
Date Deposited: 04 Jan 2017 12:19
Last Modified: 22 Mar 2023 12:11
URI: https://www.open-access.bcu.ac.uk/id/eprint/3751

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