<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Atzmueller, Martin</style></author><author><style face="normal" font="default" size="100%">Becker, Martin</style></author><author><style face="normal" font="default" size="100%">Molino, Andrea</style></author><author><style face="normal" font="default" size="100%">Mueller, Juergen</style></author><author><style face="normal" font="default" size="100%">Peters, Jan</style></author><author><style face="normal" font="default" size="100%">Alina Sirbu</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Applications for Environmental Sensing in EveryAware</style></title><secondary-title><style face="normal" font="default" size="100%">Participatory Sensing, Opinions and Collective Awareness</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://link.springer.com/chapter/10.1007/978-3-319-25658-0_7</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Springer</style></publisher><pages><style face="normal" font="default" size="100%">135–155</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">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.

</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Pietro Gravino</style></author><author><style face="normal" font="default" size="100%">Alina Sirbu</style></author><author><style face="normal" font="default" size="100%">Becker, Martin</style></author><author><style face="normal" font="default" size="100%">Vito D P Servedio</style></author><author><style face="normal" font="default" size="100%">Vittorio Loreto</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Experimental Assessment of the Emergence of Awareness and Its Influence on Behavioral Changes: The Everyaware Lesson</style></title><secondary-title><style face="normal" font="default" size="100%">Participatory Sensing, Opinions and Collective Awareness</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://link.springer.com/chapter/10.1007/978-3-319-25658-0_16</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Springer</style></publisher><pages><style face="normal" font="default" size="100%">337–362</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The emergence of awareness is deeply connected to the process of learning. In fact, by learning that high sound levels may harm one’s health, that noise levels that we estimate as innocuous may be dangerous, that there exist an alternative path we can walk to go to work and minimize our exposure to air pollution, etc., citizens will be able to understand the environment around them and act consequently to go toward a more sustainable world.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Alina Sirbu</style></author><author><style face="normal" font="default" size="100%">Becker, Martin</style></author><author><style face="normal" font="default" size="100%">Saverio Caminiti</style></author><author><style face="normal" font="default" size="100%">De Baets, Bernard</style></author><author><style face="normal" font="default" size="100%">Elen, Bart</style></author><author><style face="normal" font="default" size="100%">Francis, Louise</style></author><author><style face="normal" font="default" size="100%">Pietro Gravino</style></author><author><style face="normal" font="default" size="100%">Hotho, Andreas</style></author><author><style face="normal" font="default" size="100%">Ingarra, Stefano</style></author><author><style face="normal" font="default" size="100%">Vittorio Loreto</style></author><author><style face="normal" font="default" size="100%">Molino, Andrea</style></author><author><style face="normal" font="default" size="100%">Mueller, Juergen</style></author><author><style face="normal" font="default" size="100%">Peters, Jan</style></author><author><style face="normal" font="default" size="100%">Ricchiuti, Ferdinando</style></author><author><style face="normal" font="default" size="100%">Saracino, Fabio</style></author><author><style face="normal" font="default" size="100%">Vito D P Servedio</style></author><author><style face="normal" font="default" size="100%">Stumme, Gerd</style></author><author><style face="normal" font="default" size="100%">Theunis, Jan</style></author><author><style face="normal" font="default" size="100%">Francesca Tria</style></author><author><style face="normal" font="default" size="100%">Van den Bossche, Joris</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Participatory Patterns in an International Air Quality Monitoring Initiative.</style></title><secondary-title><style face="normal" font="default" size="100%">PLoS One</style></secondary-title><alt-title><style face="normal" font="default" size="100%">PLoS ONE</style></alt-title></titles><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2015</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">10</style></volume><pages><style face="normal" font="default" size="100%">e0136763</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;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.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Becker, Martin</style></author><author><style face="normal" font="default" size="100%">Saverio Caminiti</style></author><author><style face="normal" font="default" size="100%">Fiorella, Donato</style></author><author><style face="normal" font="default" size="100%">Francis, Louise</style></author><author><style face="normal" font="default" size="100%">Pietro Gravino</style></author><author><style face="normal" font="default" size="100%">Haklay, Mordechai Muki</style></author><author><style face="normal" font="default" size="100%">Hotho, Andreas</style></author><author><style face="normal" font="default" size="100%">Vittorio Loreto</style></author><author><style face="normal" font="default" size="100%">Mueller, Juergen</style></author><author><style face="normal" font="default" size="100%">Ricchiuti, Ferdinando</style></author><author><style face="normal" font="default" size="100%">Vito D P Servedio</style></author><author><style face="normal" font="default" size="100%">Alina Sirbu</style></author><author><style face="normal" font="default" size="100%">Francesca Tria</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Awareness and learning in participatory noise sensing.</style></title><secondary-title><style face="normal" font="default" size="100%">PLoS One</style></secondary-title><alt-title><style face="normal" font="default" size="100%">PLoS ONE</style></alt-title></titles><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2013</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">8</style></volume><pages><style face="normal" font="default" size="100%">e81638</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;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.&lt;/p&gt;</style></abstract></record></records></xml>