Simulating house cooling methods to decrease energy consumption by creating awareness and attitude change

Arendt, Clinton, Myers, Trina, and Trevathan, Jarrod (2014) Simulating house cooling methods to decrease energy consumption by creating awareness and attitude change. International Journal of Smart Home, 8 (2). pp. 177-190.

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Abstract

Efficient cooling methods are necessary when living in a tropical climate where high temperatures and high humidity are normal. Air-conditioning units, which are expensive to run and maintain are standard in a majority of houses in Australia's tropic zone due to the design of both historic and modern housing not being fully suited to a tropical region. Significantly, the cost of energy consumption continues to increase. There are simple and inexpensive modifications a homeowner can do to naturally cool the house and preserve energy, such as, painting roofs white, planting screening vegetation and installing shades externally to cover windows, etc. However, many of these alternative techniques are not common knowledge and are not presented to the public in ways that can inform and potentially change behaviour. This paper presents a housing simulation prototype that applies gamification methods to build awareness on ways to reduce cooling power consumption. An interactive guided persuasion methodology is used to educate homeowners about these alternative techniques so they may choose natural cooling methods instead of relying on electrical cooling appliances. The results of the user testing show the simulation design did encourage awareness and motivation to make tangible adaptations to homes.

Item ID: 32307
Item Type: Article (Research - C1)
ISSN: 1975-4094
Keywords: smart homes, simulation, gamification, persuasive computing
Additional Information:

Open Access journal, but copyright belongs to publisher: the copyright transfer form "covers the exclusive right to reproduce and distribute the contribution, including reprints, translations, photographic reproductions, microform, electronic form (offline, online), or any other reproductions of similar nature. The Author may not publish his/her contribution anywhere else without the prior written permission of the publisher unless it has been changed substantially.". TL 12.2.14

Date Deposited: 24 Jun 2014 01:37
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080105 Expert Systems @ 50%
08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080110 Simulation and Modelling @ 50%
SEO Codes: 97 EXPANDING KNOWLEDGE > 970108 Expanding Knowledge in the Information and Computing Sciences @ 100%
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