@inbook {848,
	title = {Applications for Environmental Sensing in EveryAware},
	booktitle = {Participatory Sensing, Opinions and Collective Awareness},
	year = {2017},
	pages = {135{\textendash}155},
	publisher = {Springer},
	organization = {Springer},
	abstract = {This chapter provides a technical description of the EveryAware applications for air quality and noise monitoring. Specifically, we introduce AirProbe, for measuring air quality, and WideNoise Plus for estimating environmental noise. We also include an overview on hardware components and smartphone-based measurement technology, and we present the according web backend, e.g., providing for real-time tracking, data storage, analysis and visualizations.

},
	doi = {10.1007/978-3-319-25658-0_7},
	url = {http://link.springer.com/chapter/10.1007/978-3-319-25658-0_7},
	author = {Atzmueller, Martin and Becker, Martin and Molino, Andrea and Mueller, Juergen and Peters, Jan and Alina Sirbu}
}
@article {794,
	title = {Participatory Patterns in an International Air Quality Monitoring Initiative.},
	journal = {PLoS One},
	volume = {10},
	year = {2015},
	month = {2015},
	pages = {e0136763},
	abstract = {<p>The issue of sustainability is at the top of the political and societal agenda, being considered of extreme importance and urgency. Human individual action impacts the environment both locally (e.g., local air/water quality, noise disturbance) and globally (e.g., climate change, resource use). Urban environments represent a crucial example, with an increasing realization that the most effective way of producing a change is involving the citizens themselves in monitoring campaigns (a citizen science bottom-up approach). This is possible by developing novel technologies and IT infrastructures enabling large citizen participation. Here, in the wider framework of one of the first such projects, we show results from an international competition where citizens were involved in mobile air pollution monitoring using low cost sensing devices, combined with a web-based game to monitor perceived levels of pollution. Measures of shift in perceptions over the course of the campaign are provided, together with insights into participatory patterns emerging from this study. Interesting effects related to inertia and to direct involvement in measurement activities rather than indirect information exposure are also highlighted, indicating that direct involvement can enhance learning and environmental awareness. In the future, this could result in better adoption of policies towards decreasing pollution.</p>},
	issn = {1932-6203},
	doi = {10.1371/journal.pone.0136763},
	author = {Alina Sirbu and Becker, Martin and Saverio Caminiti and De Baets, Bernard and Elen, Bart and Francis, Louise and Pietro Gravino and Hotho, Andreas and Ingarra, Stefano and Vittorio Loreto and Molino, Andrea and Mueller, Juergen and Peters, Jan and Ricchiuti, Ferdinando and Saracino, Fabio and Vito D P Servedio and Stumme, Gerd and Theunis, Jan and Francesca Tria and Van den Bossche, Joris}
}
@article {795,
	title = {Awareness and learning in participatory noise sensing.},
	journal = {PLoS One},
	volume = {8},
	year = {2013},
	month = {2013},
	pages = {e81638},
	abstract = {<p>The development of ICT infrastructures has facilitated the emergence of new paradigms for looking at society and the environment over the last few years. Participatory environmental sensing, i.e. directly involving citizens in environmental monitoring, is one example, which is hoped to encourage learning and enhance awareness of environmental issues. In this paper, an analysis of the behaviour of individuals involved in noise sensing is presented. Citizens have been involved in noise measuring activities through the WideNoise smartphone application. This application has been designed to record both objective (noise samples) and subjective (opinions, feelings) data. The application has been open to be used freely by anyone and has been widely employed worldwide. In addition, several test cases have been organised in European countries. Based on the information submitted by users, an analysis of emerging awareness and learning is performed. The data show that changes in the way the environment is perceived after repeated usage of the application do appear. Specifically, users learn how to recognise different noise levels they are exposed to. Additionally, the subjective data collected indicate an increased user involvement in time and a categorisation effect between pleasant and less pleasant environments.</p>},
	issn = {1932-6203},
	doi = {10.1371/journal.pone.0081638},
	author = {Becker, Martin and Saverio Caminiti and Fiorella, Donato and Francis, Louise and Pietro Gravino and Haklay, Mordechai Muki and Hotho, Andreas and Vittorio Loreto and Mueller, Juergen and Ricchiuti, Ferdinando and Vito D P Servedio and Alina Sirbu and Francesca Tria}
}
