ICAC_May 16KimPerren.pdf (191.24 kB)
Incorporating persuasion into a decision support system: The case of the water user classification function
conference contribution
posted on 2017-01-12, 16:40 authored by Kim Perren, Lili Yang, Jinjin He, Shuang-Hua Yang, Yixing ShanUtility stakeholders often view autonomic feedback systems as valuable tools for moderating consumption of household resources (e.g. electricity). However, to be successful, such technology must be not only informative but also persuasive. This paper presents the water user classification (WUC) function of a decision support system (DSS) for residential water consumers. This function has been designed to harness personal value systems and wider social norms in order to promote water conservation. It uses data on home appliance efficiency, routine water usage and environmental values to attribute DSS users with a water user identity. Where the attributed identity is at odds with a self-defined 'green' identity, users may be prompted to reevaluate their everyday practices. The function also offers 'smart' personalized water saving advice. In these ways, it aims to encourage consumers to adopt sustainable water saving behaviors. This paper describes the design of the WUC function and its contribution to the DSS. It additionally highlights the crucial role of behavior change theory in the delivery of successful technology-based interventions.
History
School
- Science
Department
- Computer Science
Published in
2016 22nd International Conference on Automation and Computing, ICAC 2016: Tackling the New Challenges in Automation and ComputingPages
429 - 434Citation
PERREN, K. ... et al., 2016. Incorporating persuasion into a decision support system: The case of the water user classification function IN 2016 22nd International Conference on Automation and Computing, ICAC 2016: Tackling the New Challenges in Automation and Computing, pp. 429 - 434Publisher
© IEEEVersion
- AM (Accepted Manuscript)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Publication date
2016Notes
This is a conference paper.ISBN
9781862181311Publisher version
Language
- en