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Computer Science - Research and Development

, Volume 33, Issue 1–2, pp 275–276 | Cite as

Demo Abstract: SmartH2O, demonstrating the impact of gamification technologies for saving water

  • Andrea Emilio Rizzoli
  • Andrea Castelletti
  • Piero Fraternali
  • Jasminko Novak
Special Issue Paper

Abstract

SmartH2O is a software platform that creates a virtuous feedback cycle between water users and the utilities, providing users information on their consumption in quasi real time, and thus enabling water utilities to plan and implement strategies to reduce/reallocate water consumption. The SmartH2O platform adopts a gamification paradigm to motivate users to change their water use behaviour and different incentives (virtual, physical, and social) are used to stimulate the competition among users. The SmartH2O platform, developed during the EU-FP7 project that bears the same name, has been deployed in two test sites: in Terre di Pedemonte, a small municipality in Tessin, Switzerland, and in Valencia, a large urban centre, in Spain. Thanks to its use it has been observed an average reduction in consumption of 10% in Switzerland and of 20% in Spain among the platform adopters.

Keywords

Water saving Gamification Behavioral Change 

Notes

Acknowledgements

This work is partially supported by the SmartH2O project funded by the EU FP7 Programme, Grant Agreement No. 619172.

References

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    Cominola A, Giuliani M, Piga D, Castelletti A, Rizzoli A (2015) Benefits and challenges of using smart meters for advancing residential water demand modeling and management: a review. Environ Model Softw 72:198–214. doi: 10.1016/j.envsoft.2015.07.012 CrossRefGoogle Scholar
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    Harou J, Garrone P, Rizzoli A, Maziotis A, Castelletti A, Fraternali P, Novak J, Wissmann-Alves R, Ceschi P (2014) Smart metering, water pricing and social media to stimulate residential water efficiency: opportunities for the SmartH2O project. Procedia Eng 89:1037–1043. doi: 10.1016/j.proeng.2014.11.222 CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  1. 1.Dalle Molle Institute for Artificial Intelligence (IDSIA), University of Lugano (USI)University of Applied Science and Arts of Southern Switzerland (SUPSI)MannoSwitzerland
  2. 2.Department of Electronics, Information and BioengineeringPolitecnico di MilanoMilanItaly
  3. 3.EIPCMBerlinGermany

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