Technology-Enabled Feedback on Domestic Energy Consumption: Articulating a Set of Design Concerns
IEEE Pervasive Computing
The design of eco-feedback technology
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Fighting against Vampire Appliances through Eco-Aware Things
IMIS '12 Proceedings of the 2012 Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing
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Our society waste more energy than they should. This is mostly due to the inadequate use that human beings perform on electrical devices. The presented paper aims to justify that embedding intelligence within everyday objects is valuable to reduce the portion of unnecessary consumed energy which is due to human misusing. To such extend, we have augmented a capsule-based coffee machine which is placed in a work office to back our assumptions. Using this device we have devised an energy saving model that takes into consideration features like how and when workers use the appliance along the day. Additionally, we have simulated the model to demonstrate, through error metric comparison (measured in KWh ), that a big amount of energy would be reduced if such intelligent systems were applied when compared with a baseline approach. Therefore, this paper contributes with a set of early, but promising, findings regarding how smart eco-aware objects can help to save energy in areas where people inhabit (cities, buildings or homes).