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Tough Shift: Exploring the Complexities of Shifting Residential Electricity Use Through a Casual Mobile Game

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conference contribution
posted on 2018-01-31, 14:26 authored by Robert S. Brewer, Nervo Verdezoto, Thomas Holst, Mia Kruse Rasmussen
Modern electrical grids are increasingly reliant on generation from renewable sources that can vary from hour to hour. This variability has led to the desire to shift the times of the day when electricity is consumed to better match generation. One way to achieve these shifts is by encouraging people to change their behavior at home. Leveraging prior research on encouraging reductions in residential energy use through game play, we introduce ShareBuddy: a casual mobile game intended to encourage players not only to reduce, but also to shift their electricity use. We conducted two field studies in a student dormitory and found that players did not shift their electricity use, because they were unwilling to change their schedules and found it easier to focus on reducing electricity use. Based on our findings, we discuss the implications for encouraging shifting, and also the challenges of integrating real-world resource use into a game.

Funding

This work has been supported by The Danish Council for Strategic Research as part of the EcoSense project (11- 115331) and by the Danish Energy Agency project: Virtual Power Plant for Smartgrid Ready Buildings (12019). We would like to thank both project teams for their feedback on ShareBuddy, as well as the residents who played the game.

History

Citation

Proceedings of the 2015 Annual Symposium on Computer-Human Interaction in Play, 2015, pp. 307-317

Author affiliation

/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Computer Science

Source

The ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play (CHI PLAY 2015), London, United Kingdom

Version

  • AM (Accepted Manuscript)

Published in

Proceedings of the 2015 Annual Symposium on Computer-Human Interaction in Play

Publisher

Association for Computing Machinery (ACM)

isbn

978-1-4503-3466-2

Acceptance date

2015-08-01

Copyright date

2015

Available date

2018-01-31

Publisher version

https://dl.acm.org/citation.cfm?doid=2793107.2793108

Temporal coverage: start date

2015-10-05

Temporal coverage: end date

2015-10-07

Language

en

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