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Incorporating persuasion into a decision support system: The case of the water user classification function

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conference contribution
posted on 2017-01-12, 16:40 authored by Kim Perren, Lili Yang, Jinjin He, Shuang-Hua Yang, Yixing Shan
Utility 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 Computing

Pages

429 - 434

Citation

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 - 434

Publisher

© IEEE

Version

  • 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

2016

Notes

This is a conference paper.

ISBN

9781862181311

Language

  • en

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