The SmartH2O project and the role of social computing in promoting efficient residential water use: A first analysis

Proceedings - 7th International Congress on Environmental Modelling and Software: Bold Visions for Environmental Modeling, iEMSs 2014

Volumn 3, Issue , 2014, Pages 1559-1567

  Rizzoli, A E ^a   Castelletti, A ^b   Cominola, A ^b   Fraternali, P ^b   Diniz Dos Santos, A ^c   Storni, B ^d   Wissmann Alves, R ^e   Bertocchi, M ^f   Novak, J ^g   Micheel, I ^g  

^a DALLE MOLLE INSTITUTE FOR ARTIFICIAL INTELLIGENCE IDSIA   (Switzerland)

^b POLITECNICO DI MILANO   (Italy)

^c FEDERAL UNIVERSITY OF CEARÁ   (Brazil)

^d UNIVERSITY OF APPLIED SCIENCES AND ARTS OF SOUTHERN SWITZERLAND   (Switzerland)

^e THAMES WATER UTILITIES LTD   (United Kingdom)

^f Società Elettrica Sopracenerina Sa   (Switzerland)

^g European Institute for Participatory Media   (Germany)

Author keywords

ICT for water management; Serious games for sus tainability awareness; Smart meters for water consumption

Indexed keywords

COMPUTER GAMES; SMART METERS; SUSTAINABLE DEVELOPMENT; WATER MANAGEMENT;

CONSUMER AWARENESS; FEEDBACK CYCLE; SERIOUS GAMES; SOCIAL COMPUTING; WATER - SAVINGS; WATER CONSUMPTION; WATER PRICES; WATER UTILITY;

WATER SUPPLY;

EID: 84911931894     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (43)

1. Anda, M., Le Gay Brereton, F., Brennan, J., and E., P. (2013). Smart metering infrastructure for residential water efficiency: Results of a trial in a behavioural change program in perth, western australia.
2. Bakker, M., van Schagen, K., and Timmer, J. (2003). Flow control by prediction of water demand. Journal of Water Supply: Research & Technology-AQUA, 52(6).
3. Beal, C. D., and Stewart., R. A., and Fielding, K. (2013). A novel mixed method smart metering approach to reconciling differences between perceived and actual residential end use water consumption. Journal of Cleaner Production, 60: 116-128. Special Volume: Water, Women, Waste, Wisdom and Wealth.
4. Bennett, C, and Steward., R. A., and Beal, C. D. (2013). Ann-based residential water end-use demand forecasting model. Expert Systems with Applications, 40(4): 1014-1023.
5. Blokker, E., Vreeburg, J., and van Dijk, J. (2010). Simulating residential water demand with a stochastic end-use model. Journal of Water Resources Planning and Management, 136(1): 19-26.
6. Bogost, I. (2007). Persuasive games: The expressive power of videogames. Mit Press.
7. Centieiro, P., Romão, T., and Dias, A. E. (2011). A location-based multiplayer mobile game to encourage pro-environmental behaviours. In Proceedings of the 8th International Conference on Advances in Computer Entertainment Technology, page 31. ACM.
8. Corral-Verdugo, V., Frias-Armenta, M., Pérez-Urias, F., Orduña-Cabrera, V., and Espinoza-Gallego, N. (2002). Residential water consumption, motivation for conserving water and the continuing tragedy of the commons. Environmental Management, 30(4): 527-535.
9. DHI (2014). Acqua republica - http://aquarepublica.com/. Online.
10. Doucet, L. and Srinivasan, V. (2010). Designing entertaining educational games using procedural rhetoric: a case study. In Proceedings of the 5th ACM SIGGRAPH Symposium on Video Games, pages 5-10. ACM.
11. Dray, A., Perez, P., LePage, C., D'Aquino, P., and White, I. (2005). Companion modelling approach: the atollgame experience in tarawa atoll (republic of kiribati).
12. Ecker, R., Holzer, P., Broy, V., and Butz, A. (2011). Ecochallenge: a race for efficiency. In Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services, pages 91-94. ACM.
13. Fielding, K. S., Spinks, A., Russell, S., McCrea, R., and Stewart., R. A., and Gardner, J. (2013). An experimental test of voluntary strategies to promote urban water demand management. Journal of environmental management, 114: 343-351.
14. Fox, C., McIntosh, B., and Jeffrey, P. (2009). Classifying households for water demand forecasting using physical property characteristics. Land Use Policy, 26(3): 558-568.
15. Gamberini, L., Corradi, N., Zamboni, L., Perotti, M., Cadenazzi, C., Mandressi, S., Jacucci, G., Tusa, G., Spagnolli, A., Björkskog, C., et al. (2011). Saving is fun: designing a persuasive game for power conservation. In Proceedings of the 8th International Conference on Advances in Computer Entertainment Technology, page 16. ACM.
16. Gato-Trinidad, S., Jayasuriya, N., and Roberts, P. (2011). Understanding urban residential end uses of water. Water Science & Technology, 64(1).
17. Geller, E. S. (2002). The challenge of increasing proenvironment behavior. Handbook of environmental psychology, pages 525-540.
18. Giurco, D. P., and White., S. B., and Stewart, R. A. (2010). Smart metering and water end-use data: Conservation benefits and privacy risks. Water, 2(3): 461-467.
19. Grace, L. (2010). Creating critical gameplay design. In Proceedings of the 7th international conference on advances in computer entertainment technology, pages 91-94. ACM.
20. Grafton, R. Q., and Ward., M. B., To, H., and Kompas, T. (2011). Determinants of residential water consumption: Evidence and analysis from a 10-country household survey. Water Resources Research, 47(8).
21. Gustafsson, A., Bång, M., and Svahn, M. (2009a). Power explorer: a casual game style for encouraging long term behavior change among teenagers. In Proceedings of the International Conference on Advances in Computer Enterntainment Technology, pages 182-189. ACM.
22. Gustafsson, A., Katzeff, C., and Bang, M. (2009b). Evaluation of a pervasive game for domestic energy engagement among teenagers. Computers in Entertainment (CIE), 7(4): 54.
23. Hirsch, T. (2010). Water wars: designing a civic game about water scarcity. In Proceedings of the 8th ACM Conference on Designing Interactive Systems, pages 340-343. ACM.
24. Inman, D. and Jeffrey, P. (2006). A review of residential water conservation tool performance and influences on implementation effectiveness. Urban Water Journal, 3(3): 127-143.
25. Khoi Anh Nguyen, K. A., Zhang, H., and Stewart, R. A. (2013). Development of an intelligent model to categorise residential water end use events. Journal of Hydro-environment Research, 7(3): 182-201.
26. Lee, M., Tansel, B., and Balbin, M. (2011). Influence of residential water use efficiency measures on household water demand: A four year longitudinal study. Resources, Conservation and Recycling, 56(1): 1-6.
27. Linder, J. and Ju, W. (2012). Playable character: extending digital games into the real world. In Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems, pages 2069-2078. ACM.
28. Makki, A. A., and Stewart., R. A., Panuwatwanich, K., and Beal, C. (2013). Revealing the determinants of shower water end use consumption: enabling better targeted urban water conservation strategies. Journal of Cleaner Production, 60(0): 129-146. Special Volume: Water, Women, Waste, Wisdom and Wealth.
29. Mendes, M., Ângelo, P., Nisi, V., and Correia, N. (2012). Digital art, hci and environmental awareness evaluating play with fire. In Proceedings of the 7th Nordic Conference on Human-Computer Interaction: Making Sense Through Design, pages 408-417. ACM.
30. Olmstead, S. M., Michael Hanemann, W., and Stavins, R. N. (2007). Water demand under alternative price structures. Journal of Environmental Economics and Management, 54(2): 181-198.
31. Olmstead, S. M. and Stavins, R. N. (2009). Comparing price and nonprice approaches to urban water conservation. Water Resources Research, 45(4).
32. Pereira, L., Quintal, F., Barreto, M., and Nunes, N. J. (2013). Understanding the limitations of eco-feedback: A one-year long-term study. In Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data, pages 237-255. Springer.
33. Peschiera, G., and Taylor., J. E., and Siegel, J. A. (2010). Response-relapse patterns of building occupant electricity consumption following exposure to personal, contextualized and occupant peer network utilization data. Energy and Buildings, 42(8): 1329-1336.
34. Randolph, B. and Troy, P. (2008). Attitudes to conservation and water consumption. Environmental Science & Policy, 11(5): 441-455.
35. Rebolledo-Mendez, G., Avramides, K., de Freitas, S., and Memarzia, K. (2009). Societal impact of a serious game on raising public awareness: the case of floodsim. In Proceedings of the 2009 ACM SIGGRAPH Symposium on Video Games, pages 15-22. ACM.
36. Renwick, M. E. and Archibald, S. O. (1998). Demand side management policies for residential water use: who bears the conservation burden? Land economics, 74(3).
37. Renwick, M. E. and Green, R. D. (2000). Do residential water demand side management policies measure up? an analysis of eight california water agencies. Journal of Environmental Economics and Management, 40(1): 37-55.
38. Rixon, A., Moglia, M., and Burn, S. (2007). Exploring water conservation behaviour through participatory agent based modelling. Topics on Systems Analysis for Integrated Water Resource Management.
39. Science, A. (2014). Catchment detox - http://www.abc.net.au/science/catchmentdetox/. Online.
40. Syme, G. J., Shao, Q., Po, M., and Campbell, E. (2004). Predicting and understanding home garden water use. Landscape and Urban Planning, 68(1): 121-128.
41. Thompson, D., Baranowski, T., Buday, R., Baranowski, J., Thompson, V., Jago, R., and Griffith, M. J. (2010). Serious video games for health: how behavioral science guided the development of a serious video game. Simulation & gaming, 41(4): 587-606.
42. Willis, R. M., and Stewart., R. A., Giurco, D. P., Telebpour, M. R., and Mousavinejad, A. (2013). End use water consumption in households: impact of socio-demographic factors and efficient devices. Journal of Cleaner Production, 60: 107-115. Special Volume: Water, Women, Waste, Wisdom and Wealth.
43. Wong, J. S., Zhang, Q., and Chen, Y. D. (2010). Statistical modeling of daily urban water consumption in hong kong: Trend, changing patterns, and forecast. Water Resources Research, 46(3).