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Smiling Earth—Raising Awareness among Citizens for Behaviour Change to Reduce Carbon Footprint

doi: 10.3390/en13225932
handle: 11250/3060764
This paper describes Smiling Earth, a mobile app to increase citizens’ awareness about their own carbon footprint, by integrating energy and transport-related data. The main aim of our work is to explore the ways in which Information and Communication Technologies could help raise awareness and educate and motivate citizens about their actions and their consequences on the environment. Smiling Earth provides feedback to users by visualising data about their daily activities with the aim to motivate citizens to change their behaviour to reduce their CO2 emissions by adopting a healthier lifestyle. The value of the Smiling Earth for individuals, cities and communities is discussed. The feedback from an expert evaluation and how Smiling Earth could contribute to Positive Energy Districts are also discussed.
- SINTEF AS Norway
- SINTEF AS Norway
- Norwegian University of Science and Technology Norway
Technology, carbon footprint: citizen motivation, T, behaviour change, sustainability, behaviour change; carbon footprint: citizen motivation; sustainability
Technology, carbon footprint: citizen motivation, T, behaviour change, sustainability, behaviour change; carbon footprint: citizen motivation; sustainability
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).7 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
