Energy Efficiency in Public Buildings through Context-Aware Social Computing
BISITE Research Group, Edificio I+D+I, University of Salamanca, 37007 Salamanca, Spain
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Academic Editor: Francisco Javier Falcone Lanas
Sensors 2017, 17(4), 826; https://doi.org/10.3390/s17040826
Received: 25 February 2017 / Revised: 6 April 2017 / Accepted: 7 April 2017 / Published: 11 April 2017
(This article belongs to the Special Issue Context Aware Environments and Applications)
The challenge of promoting behavioral changes in users that leads to energy savings in public buildings has become a complex task requiring the involvement of multiple technologies. Wireless sensor networks have a great potential for the development of tools, such as serious games, that encourage acquiring good energy and healthy habits among users in the workplace. This paper presents the development of a serious game using CAFCLA, a framework that allows for integrating multiple technologies, which provide both context-awareness and social computing. Game development has shown that the data provided by sensor networks encourage users to reduce energy consumption in their workplace and that social interactions and competitiveness allow for accelerating the achievement of good results and behavioral changes that favor energy savings.
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Keywords:
behavioral change; serious games; context-awareness; collaborative learning; energy efficiency; social computing; virtual organizations
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MDPI and ACS Style
García, Ó.; Alonso, R.S.; Prieto, J.; Corchado, J.M. Energy Efficiency in Public Buildings through Context-Aware Social Computing. Sensors 2017, 17, 826. https://doi.org/10.3390/s17040826
AMA Style
García Ó, Alonso RS, Prieto J, Corchado JM. Energy Efficiency in Public Buildings through Context-Aware Social Computing. Sensors. 2017; 17(4):826. https://doi.org/10.3390/s17040826
Chicago/Turabian StyleGarcía, Óscar; Alonso, Ricardo S.; Prieto, Javier; Corchado, Juan M. 2017. "Energy Efficiency in Public Buildings through Context-Aware Social Computing" Sensors 17, no. 4: 826. https://doi.org/10.3390/s17040826
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