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.
}, author = {Becker, Martin and Caminiti, Saverio and Fiorella, Donato and Francis, Louise and Gravino, Pietro and Haklay, Mordechai (Muki) and Hotho, Andreas and Loreto, Vittorio and Mueller, Juergen and Ricchiuti, Ferdinando and Servedio, Vito D. P. and Sîrbu, Alina and Tria, Francesca}, doi = {10.1371/journal.pone.0081638}, interhash = {52652b4fe271d8be4b96b2f692fe9519}, intrahash = {423a8aaa4eb317ee507143293205c76f}, journal = {PLoS ONE}, month = {12}, number = 12, pages = {e81638}, publisher = {Public Library of Science}, title = {Awareness and Learning in Participatory Noise Sensing}, url = {http://dx.doi.org/10.1371%2Fjournal.pone.0081638}, volume = 8, year = 2013 } @article{10.1371/journal.pone.0081638, abstract = {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.
}, author = {Becker, Martin and Caminiti, Saverio and Fiorella, Donato and Francis, Louise and Gravino, Pietro and Haklay, Mordechai (Muki) and Hotho, Andreas and Loreto, Vittorio and Mueller, Juergen and Ricchiuti, Ferdinando and Servedio, Vito D. P. and Sîrbu, Alina and Tria, Francesca}, doi = {10.1371/journal.pone.0081638}, interhash = {52652b4fe271d8be4b96b2f692fe9519}, intrahash = {423a8aaa4eb317ee507143293205c76f}, journal = {PLoS ONE}, month = {12}, number = 12, pages = {e81638}, publisher = {Public Library of Science}, title = {Awareness and Learning in Participatory Noise Sensing}, url = {http://dx.doi.org/10.1371%2Fjournal.pone.0081638}, volume = 8, year = 2013 } @inproceedings{atzmueller2013towards, address = {New York, NY, USA}, author = {Atzmueller, Martin and Hilgenberg, Katy}, booktitle = {Proc. 4th International Workshop on Modeling Social Media (MSM 2013), Hypertext 2013}, interhash = {b0d93d41ff9e84514d614cd2b3507a1d}, intrahash = {4ebea4979524a9c1c0d41845e41e33a9}, publisher = {ACM Press}, title = {{Towards Capturing Social Interactions with SDCF: An Extensible Framework for Mobile Sensing and Ubiquitous Data Collection}}, year = 2013 } @inproceedings{atzmueller2013sensor, address = {Hamburg, Germany}, author = {Atzmueller, Martin and Hilgenberg, Katy}, booktitle = {Proc. Sunbelt XXXIII: Annual Meeting of the International Network for Social Network Analysis}, interhash = {b71797fb6ff8776761d5227a61875470}, intrahash = {5f8a4602c1087ea93f1f7440050d1982}, publisher = {INSNA}, title = {{SDCF - A Sensor Data Collection Framework for Social and Ubiquitous Environments: Challenges and First Experiences in Sensor-based Social Networks (Abstract)}}, year = 2013 } @article{Lane2010, author = {Lane, N.D. and Miluzzo, E. and Lu, H. and Peebles, D. and Choudhury, T. and Campbell, A.T.}, groups = {public}, interhash = {f7244b71f3c927cee9a6f7c1f51dccd1}, intrahash = {beda1b520eda3f21e00d890f4b1ec62d}, journal = {Communications Magazine, IEEE}, number = 9, pages = {140--150}, publisher = {IEEE}, title = {A survey of mobile phone sensing}, username = {jpcik}, volume = 48, year = 2010 } @article{6069707, abstract = {An emerging category of devices at the edge of the Internet are consumer-centric mobile sensing and computing devices, such as smartphones, music players, and in-vehicle sensors. These devices will fuel the evolution of the Internet of Things as they feed sensor data to the Internet at a societal scale. In this article, we examine a category of applications that we term mobile crowdsensing, where individuals with sensing and computing devices collectively share data and extract information to measure and map phenomena of common interest. We present a brief overview of existing mobile crowdsensing applications, explain their unique characteristics, illustrate various research challenges, and discuss possible solutions. Finally, we argue the need for a unified architecture and envision the requirements it must satisfy.}, author = {Ganti, R.K. and Ye, Fan and Lei, Hui}, doi = {10.1109/MCOM.2011.6069707}, interhash = {8e5a7301965e4703f5caaf45f7a823d4}, intrahash = {44321e103e910e997453ffcb9877ac73}, issn = {0163-6804}, journal = {Communications Magazine, IEEE}, number = 11, pages = {32-39}, title = {Mobile crowdsensing: current state and future challenges}, url = {http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6069707&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6069707}, volume = 49, year = 2011 } @inproceedings{Schweizer:2012:NMI:2389148.2389157, abstract = {Noise pollution is a problem increasingly acknowledged by authorities and governments around the globe. At last year's PhoneSense we presented Noisemap, a participating sensing application to accurately measure noise pollution. Noisemap incorporated frequency calibration to overcome the limited microphone hardware. The challenge remaining is how to motivate smartphone users to sacrifice their time and battery on measuring noise. A user study was conducted with 49 users divided into three groups. As expected the average measurements taken per user increased from 402 to 3,357 as the number of incentive schemes increased. Over the course of 7 weeks the users captured more than 85, 000 measurements, measuring for more than six hours on average.}, acmid = {2389157}, address = {New York, NY, USA}, articleno = {9}, author = {Schweizer, Immanuel and Meurisch, Christian and Gedeon, Julien and B\"{a}rtl, Roman and M\"{u}hlh\"{a}user, Max}, booktitle = {Proceedings of the Third International Workshop on Sensing Applications on Mobile Phones}, doi = {10.1145/2389148.2389157}, interhash = {2115b4afb0ea994189332bfd209fbee7}, intrahash = {4d5bc70c5ee9c8250f6e4e6b4e4d8518}, isbn = {978-1-4503-1778-8}, location = {Toronto, Ontario, Canada}, numpages = {5}, pages = {9:1--9:5}, publisher = {ACM}, series = {PhoneSense '12}, title = {Noisemap: multi-tier incentive mechanisms for participative urban sensing}, url = {http://doi.acm.org/10.1145/2389148.2389157}, year = 2012 } @inproceedings{noauthororeditor2011noisemap, editor = {Second International Workshop on Sensing Applications on Mobile Phones, ACM SenSys 2011}, interhash = {fb255bb53f64fc403f4e03cb73577bb5}, intrahash = {248ff44fcf7b397c118a33116d05326b}, title = {NoiseMap - Real-time participatory noise maps}, url = {http://research.microsoft.com/en-us/um/redmond/events/phonesense2011/papers/NoiseMap.pdf}, year = 2011 } @article{maisonneuve2010participatory, abstract = {Noise pollution is a major problem in cities around the world. The current methods to assess it neglect to represent the real exposure experienced by the citizens themselves, and therefore could lead to wrong conclusions and a biased representations. In this paper we present a novel approach to monitor noise pollution involving the general public. Using their mobile phones as noise sensors, we provide a low cost solution for the citizens to measure their personal exposure to noise in their everyday environment and participate in the creation of collective noise maps by sharing their geo-localized and annotated measurements with the community. Our prototype, called NoiseTube, can be found online [1].}, author = {Maisonneuve, Nicolas and Stevens, Matthias and Ochab, Bartek}, doi = {10.3233/IP-2010-0200}, interhash = {75f1760b3c55de573fffd69fcc10548e}, intrahash = {4dbb1ce355b7249bc2f66ed4b2126bab}, journal = {Information Polity}, month = jan, number = 1, pages = {51--71}, publisher = {IOS Press}, title = {Participatory noise pollution monitoring using mobile phones}, url = {http://dx.doi.org/10.3233/IP-2010-0200}, volume = 15, year = 2010 } @article{kanjo2010noisespy, abstract = {In this paper we present the design, implementation, evaluation, and user experiences of the NoiseSpy application, our sound sensing system that turns the mobile phone into a low-cost data logger for monitoring environmental noise. It allows users to explore a city area while collaboratively visualizing noise levels in real-time. The software combines the sound levels with GPS data in order to generate a map of sound levels that were encountered during a journey. We report early findings from the trials which have been carried out by cycling couriers who were given Nokia mobile phones equipped with the NoiseSpy software to collect noise data around Cambridge city. Indications are that, not only is the functionality of this personal environmental sensing tool engaging for users, but aspects such as personalization of data, contextual information, and reflection upon both the data and its collection, are important factors in obtaining and retaining their interest.}, acmid = {1831011}, address = {Hingham, MA, USA}, author = {Kanjo, Eiman}, doi = {10.1007/s11036-009-0217-y}, interhash = {12b29df257d71dfd37193d6b4665004e}, intrahash = {387ebc6472794f598d07256a45f3d9b7}, issn = {1383-469X}, issue_date = {August 2010}, journal = {Mobile Networks and Applications}, month = aug, number = 4, numpages = {13}, pages = {562--574}, publisher = {Kluwer Academic Publishers}, title = {NoiseSPY: A Real-Time Mobile Phone Platform for Urban Noise Monitoring and Mapping}, url = {http://dx.doi.org/10.1007/s11036-009-0217-y}, volume = 15, year = 2010 } @inproceedings{hristova2012mapping, abstract = {Communities of people are better mappers if they are spatially clustered, as revealed in an interesting new paper by Hristova, Mashhadi, Quattrone and Capra from UCL. "This preliminary analysis inspires further inquiry because it shows a clear correlation between spatial affiliation, the internal community structure and the community’s engagement in terms of coverage", according to the authors. They have studied the similarity patterns among eight hundred contributors to OpenStreetMap, the well-known crowdmapping project and detected the hidden community structure. It is a very promising field of research, coupling a social network analysis of crowdsourced data. Participants to such projects are rarely independent individuals: in most cases, they involve communities more than single participants and it would be crucial to uncover how the underlying social structure reflects on the quantity and the quality of the collected data. It has the greatest relevance for citizen science projects, as data quality is often the key issue determining the success or the failure of the collective effort. }, author = {Hristova, Desislava and Mashhadi, Afra and Quattrone, Giovanni and Capra, Licia}, booktitle = {Proc. When the City Meets the Citizen Workshop (WCMCW)}, interhash = {373e02fe56d30b26261a33135e0b7a45}, intrahash = {f0a69ac56b94a471b470ebd56545fafd}, month = jun, title = {Mapping Community Engagement with Urban Crowd-Sourcing}, url = {http://www.cs.ucl.ac.uk/staff/l.capra/publications/wcmcw12.pdf}, year = 2012 } @inproceedings{hristova2012mapping, abstract = {Communities of people are better mappers if they are spatially clustered, as revealed in an interesting new paper by Hristova, Mashhadi, Quattrone and Capra from UCL. "This preliminary analysis inspires further inquiry because it shows a clear correlation between spatial affiliation, the internal community structure and the community’s engagement in terms of coverage", according to the authors. They have studied the similarity patterns among eight hundred contributors to OpenStreetMap, the well-known crowdmapping project and detected the hidden community structure. It is a very promising field of research, coupling a social network analysis of crowdsourced data. Participants to such projects are rarely independent individuals: in most cases, they involve communities more than single participants and it would be crucial to uncover how the underlying social structure reflects on the quantity and the quality of the collected data. It has the greatest relevance for citizen science projects, as data quality is often the key issue determining the success or the failure of the collective effort. }, author = {Hristova, Desislava and Mashhadi, Afra and Quattrone, Giovanni and Capra, Licia}, booktitle = {Proc. When the City Meets the Citizen Workshop (WCMCW)}, interhash = {373e02fe56d30b26261a33135e0b7a45}, intrahash = {f0a69ac56b94a471b470ebd56545fafd}, month = jun, title = {Mapping Community Engagement with Urban Crowd-Sourcing}, url = {http://www.cs.ucl.ac.uk/staff/l.capra/publications/wcmcw12.pdf}, year = 2012 } @article{KamelBoulos:2011:Int-J-Health-Geogr:22188675, abstract = {ABSTRACT: 'Wikification of GIS by the masses' is a phrase-term first coined by Kamel Boulos in 2005, two years earlier than Goodchild's term 'Volunteered Geographic Information'. Six years later (2005-2011), OpenStreetMap and Google Earth (GE) are now full-fledged, crowdsourced 'Wikipedias of the Earth' par excellence, with millions of users contributing their own layers to GE, attaching photos, videos, notes and even 3-D (three dimensional) models to locations in GE. From using Twitter in participatory sensing and bicycle-mounted sensors in pervasive environmental sensing, to creating a 100,000-sensor geo-mashup using Semantic Web technology, to the 3-D visualisation of indoor and outdoor surveillance data in real-time and the development of next-generation, collaborative natural user interfaces that will power the spatially-enabled public health and emergency situation rooms of the future, where sensor data and citizen reports can be triaged and acted upon in real-time by distributed teams of professionals, this paper offers a comprehensive state-of-the-art review of the overlapping domains of the Sensor Web, citizen sensing and 'human-in-the-loop sensing' in the era of the Mobile and Social Web, and the roles these domains can play in environmental and public health surveillance and crisis/disaster informatics. We provide an in-depth review of the key issues and trends in these areas, the challenges faced when reasoning and making decisions with real-time crowdsourced data (such as issues of information overload, "noise", misinformation, bias and trust), the core technologies and Open Geospatial Consortium (OGC) standards involved (Sensor Web Enablement and Open GeoSMS), as well as a few outstanding project implementation examples from around the world.}, author = {Kamel Boulos, M N and Resch, B and Crowley, D N and Breslin, J G and Sohn, G and Burtner, R and Pike, W A and Jezierski, E and Chuang, K Y}, doi = {10.1186/1476-072X-10-67}, interhash = {a6ac2747114ce6ffa0292d35b13d090a}, intrahash = {def3ae64f180754a5477d0561989501f}, journal = {Int J Health Geogr}, month = dec, number = 1, pages = {67-67}, pmid = {22188675}, title = {Crowdsourcing, citizen sensing and Sensor Web technologies for public and environmental health surveillance and crisis management: trends, OGC standards and application examples}, url = {http://www.ncbi.nlm.nih.gov/pubmed/22188675}, volume = 10, year = 2011 }