Evaluation of a pervasive game for domestic energy engagement among teenagers

Abstract

In this article, we present Power Agent—a pervasive game designed to encourage teenagers and their families to reduce energy consumption in the home. The ideas behind this mobile phone-based game are twofold; to transform the home environment and its devices into a learning arena for hands-on experience with electricity usage and to promote engagement via a team competition scheme. We report on the game's evaluation with six teenagers and their families who played the game for ten days in two cities in Sweden. Data collection consisted of home energy measurements before, during, and after a game trial, in addition to interviews with participants at the end of the evaluation. The results suggest that the game concept was highly efficient in motivating and engaging the players and their families to change their daily energy-consumption patterns during the game trial. Although the evaluation does not permit any conclusions as to whether the game had any postgame effects on behavior, we can conclude that the pervasive persuasive game approach appears to be highly promising in regard to energy conservation and similar fields or issues.

References

1. Bång, M., Svahn, M., and Gustafsson, A. 2009. Persuasive design of a mobile energy conservation game with direct feedback and social cues. In Proceedings of the 3rd International Conference of the Digital Games Research Association (DiGRA 2009).
2. Bång, M., Gustafsson, A., and Katzeff, C. 2007. Promoting new patterns in household energy consumption with pervasive learning games. In Proceedings of Persuasive 2007. LNCS 4744, Springer, Berlin, 55--6.
3. Bång, M., Torstensson, C., and Katzeff, C. 2006. The PowerHouse: A persuasive computer game designed to raise awareness of domestic energy consumption. In LNCS 3962, Springer, Berlin,123--132.
4. Benford, S., Rowland, D., Flintham, M., Drozd, A., Hull, R., Reid, J., Morrison, J., and Facer, K. 2005. Life on the edge: Supporting collaboration in location-based experiences. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '05), ACM, New York, 721--730.
5. Forman, G. 2003. An extensive empirical study of feature selection metrics for text classification. J. Mach. Learn. Res. 3 (Mar.), 1289--1305.
6. Gagné, R. M., Foster, H., and Crowley, M. E. 1948. The measurement of transfer of training. Psychological Bull. 45, 97--130.
7. Gustafsson, A., Bång, M., and Svahn, M. 2009. Power Explorer—A casual game style for encouraging long term behavior change among teenagers. In Proceedings of the ACM ACE 09.
8. Kidscorner. 2009. http://www.managenergy.net/kidscorner/.
9. Markovi, F., Petrovic, O., Kittl, C., and Edegger, B. 2007. Pervasive learning games: A comparative study. New Rev. Hypermedia and Multimedia 13, 2 (Jan.), 93--116.
10. Solomon, S., Qin, D., and Manning, M. (eds.). 2007. Climate Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press.
11. Weal, M. J., Michaelides, D. T., Thompson, M. K., and DeRoure, D. C. 2003. The ambient wood journals: Replaying the experience. In Proceedings of the Fourteenth ACM Conference on Hypertext and Hypermedia (HYPERTEXT '03), ACM, New York, 20--27.

Index Terms

• Human-centered computing

  • Human computer interaction (HCI)