PUMA publications for /user/stumme/sitc%202013https://puma.uni-kassel.de/user/stumme/sitc%202013PUMA RSS feed for /user/stumme/sitc%2020132024-03-29T14:30:32+01:00Awareness and Learning in Participatory Noise Sensinghttps://puma.uni-kassel.de/bibtex/2423a8aaa4eb317ee507143293205c76f/stummestumme2013-12-17T13:59:10+01:002013 everyaware iteg itegpub l3s noise sensing sitc widenoise <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Martin Becker" itemprop="url" href="/author/Martin%20Becker"><span itemprop="name">M. Becker</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Saverio Caminiti" itemprop="url" href="/author/Saverio%20Caminiti"><span itemprop="name">S. Caminiti</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Donato Fiorella" itemprop="url" href="/author/Donato%20Fiorella"><span itemprop="name">D. Fiorella</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Louise Francis" itemprop="url" href="/author/Louise%20Francis"><span itemprop="name">L. Francis</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Pietro Gravino" itemprop="url" href="/author/Pietro%20Gravino"><span itemprop="name">P. Gravino</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mordechai (Muki) Haklay" itemprop="url" href="/author/Mordechai%20(Muki)%20Haklay"><span itemprop="name">M. Haklay</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Andreas Hotho" itemprop="url" href="/author/Andreas%20Hotho"><span itemprop="name">A. Hotho</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Vittorio Loreto" itemprop="url" href="/author/Vittorio%20Loreto"><span itemprop="name">V. Loreto</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Juergen Mueller" itemprop="url" href="/author/Juergen%20Mueller"><span itemprop="name">J. Mueller</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Ferdinando Ricchiuti" itemprop="url" href="/author/Ferdinando%20Ricchiuti"><span itemprop="name">F. Ricchiuti</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Vito D. P. Servedio" itemprop="url" href="/author/Vito%20D.%20P.%20Servedio"><span itemprop="name">V. Servedio</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Alina Sîrbu" itemprop="url" href="/author/Alina%20S%c3%aerbu"><span itemprop="name">A. Sîrbu</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Francesca Tria" itemprop="url" href="/author/Francesca%20Tria"><span itemprop="name">F. Tria</span></a></span>. </span><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><span itemtype="http://schema.org/Periodical" itemscope="itemscope" itemprop="isPartOf"><span itemprop="name"><em>PLoS ONE</em></span></span> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">8 </span></span>(<span itemprop="issueNumber">12</span>):
<span itemprop="pagination">e81638</span></em> </span>(<em><span>Dezember 2013<meta content="Dezember 2013" itemprop="datePublished"/></span></em>)Tue Dec 17 13:59:10 CET 2013PLoS ONE1212e81638Awareness and Learning in Participatory Noise Sensing820132013 everyaware iteg itegpub l3s noise sensing sitc widenoise <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>PLOS ONE: Awareness and Learning in Participatory Noise SensingAwareness and Learning in Participatory Noise Sensinghttps://puma.uni-kassel.de/bibtex/24b843a252dfa2c2616c18aea426f9861/stummestumme2013-12-16T17:19:49+01:002013 EveryAware WideNoise article iteg itegpub l3s sitc <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Martin Becker" itemprop="url" href="/author/Martin%20Becker"><span itemprop="name">M. Becker</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Saverio Caminiti" itemprop="url" href="/author/Saverio%20Caminiti"><span itemprop="name">S. Caminiti</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Donato Fiorella" itemprop="url" href="/author/Donato%20Fiorella"><span itemprop="name">D. Fiorella</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Louise Francis" itemprop="url" href="/author/Louise%20Francis"><span itemprop="name">L. Francis</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Pietro Gravino" itemprop="url" href="/author/Pietro%20Gravino"><span itemprop="name">P. Gravino</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mordechai (Muki) Haklay" itemprop="url" href="/author/Mordechai%20(Muki)%20Haklay"><span itemprop="name">M. Haklay</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Andreas Hotho" itemprop="url" href="/author/Andreas%20Hotho"><span itemprop="name">A. Hotho</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Vittorio Loreto" itemprop="url" href="/author/Vittorio%20Loreto"><span itemprop="name">V. Loreto</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Juergen Mueller" itemprop="url" href="/author/Juergen%20Mueller"><span itemprop="name">J. Mueller</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Ferdinando Ricchiuti" itemprop="url" href="/author/Ferdinando%20Ricchiuti"><span itemprop="name">F. Ricchiuti</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Vito D. P. Servedio" itemprop="url" href="/author/Vito%20D.%20P.%20Servedio"><span itemprop="name">V. Servedio</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Alina Sîrbu" itemprop="url" href="/author/Alina%20S%c3%aerbu"><span itemprop="name">A. Sîrbu</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Francesca Tria" itemprop="url" href="/author/Francesca%20Tria"><span itemprop="name">F. Tria</span></a></span>. </span><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><span itemtype="http://schema.org/Periodical" itemscope="itemscope" itemprop="isPartOf"><span itemprop="name"><em>PLOS ONE</em></span></span> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">8 </span></span>(<span itemprop="issueNumber">12</span>):
<span itemprop="pagination">e81638</span></em> </span>(<em><span>Dezember 2013<meta content="Dezember 2013" itemprop="datePublished"/></span></em>)Mon Dec 16 17:19:49 CET 2013PLOS ONEdec12e81638Awareness and Learning in Participatory Noise Sensing820132013 EveryAware WideNoise article iteg itegpub l3s sitc 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.A Generic Platform for Ubiquitous and Subjective Datahttps://puma.uni-kassel.de/bibtex/235eef1ecdac9d83d3bfbcac22c31984a/stummestumme2013-12-16T17:19:49+01:002013 EveryAware inproceedings iteg itegpub l3s myown sitc workshop <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Martin Becker" itemprop="url" href="/author/Martin%20Becker"><span itemprop="name">M. Becker</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Juergen Mueller" itemprop="url" href="/author/Juergen%20Mueller"><span itemprop="name">J. Mueller</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Andreas Hotho" itemprop="url" href="/author/Andreas%20Hotho"><span itemprop="name">A. Hotho</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Gerd Stumme" itemprop="url" href="/author/Gerd%20Stumme"><span itemprop="name">G. Stumme</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">1st International Workshop on Pervasive Urban Crowdsensing Architecture and Applications, PUCAA 2013, Zurich, Switzerland -- September 9, 2013. Proceedings</span>, </em></span><em>Seite <span itemprop="pagination">1175--1182</span>. </em><em>New York, NY, USA, </em><em><span itemprop="publisher">ACM</span>, </em>(<em><span>2013<meta content="2013" itemprop="datePublished"/></span></em>)Mon Dec 16 17:19:49 CET 2013New York, NY, USA1st International Workshop on Pervasive Urban Crowdsensing Architecture and Applications, PUCAA 2013, Zurich, Switzerland -- September 9, 2013. Proceedings1175--1182A Generic Platform for Ubiquitous and Subjective Data20132013 EveryAware inproceedings iteg itegpub l3s myown sitc workshop An increasing number of platforms like Xively or ThingSpeak are available to manage ubiquitous sensor data enabling the Internet of Things. Strict data formats allow interoperability and informative visualizations, supporting the development of custom user applications. Yet, these strict data formats as well as the common feed-centric approach limit the flexibility of these platforms. We aim at providing a concept that supports data ranging from text-based formats like JSON to images and video footage. Furthermore, we introduce the concept of extensions, which allows to enrich existing data points with additional information, thus, taking a data point centric approach. This enables us to gain semantic and user specific context by attaching subjective data to objective values. This paper provides an overview of our architecture including concept, implementation details and present applications. We distinguish our approach from several other systems and describe two sensing applications namely AirProbe and WideNoise that were implemented for our platform.Tag Recommendations for SensorFolkSonomieshttps://puma.uni-kassel.de/bibtex/26190d6064dfdb3b8d71f2898539e993e/stummestumme2013-12-16T17:19:49+01:002013 RecSys everyaware folksonomy iteg itegpub l3s myown recommendation rsweb sensor sitc tag widenoise <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Juergen Mueller" itemprop="url" href="/author/Juergen%20Mueller"><span itemprop="name">J. Mueller</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Stephan Doerfel" itemprop="url" href="/author/Stephan%20Doerfel"><span itemprop="name">S. Doerfel</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Martin Becker" itemprop="url" href="/author/Martin%20Becker"><span itemprop="name">M. Becker</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Andreas Hotho" itemprop="url" href="/author/Andreas%20Hotho"><span itemprop="name">A. Hotho</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Gerd Stumme" itemprop="url" href="/author/Gerd%20Stumme"><span itemprop="name">G. Stumme</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Recommender Systems and the Social Web Workshop at 7th ACM Conference on Recommender Systems, RecSys 2013, Hong Kong, China -- October 12-16, 2013. Proceedings</span>, </em></span><em>Seite <span itemprop="pagination">New York, NY, USA</span>. </em><em><span itemprop="publisher">ACM</span>, </em>(<em><span>2013<meta content="2013" itemprop="datePublished"/></span></em>)<em>accepted for publication.</em>Mon Dec 16 17:19:49 CET 2013Recommender Systems and the Social Web Workshop at 7th ACM Conference on Recommender Systems, RecSys 2013, Hong Kong, China -- October 12-16, 2013. Proceedingsaccepted for publicationNew York, NY, USATag Recommendations for SensorFolkSonomies20132013 RecSys everyaware folksonomy iteg itegpub l3s myown recommendation rsweb sensor sitc tag widenoise With the rising popularity of smart mobile devices, sensor data-based
applications have become more and more popular. Their users record
data during their daily routine or specifically for certain events.
The application WideNoise Plus allows users to record sound samples
and to annotate them with perceptions and tags. The app is being
used to document and map the soundscape all over the world. The procedure
of recording, including the assignment of tags, has to be as easy-to-use
as possible. We therefore discuss the application of tag recommender
algorithms in this particular scenario. We show, that this task is
fundamentally different from the well-known tag recommendation problem
in folksonomies as users do no longer tag fix resources but rather
sensory data and impressions. The scenario requires efficient recommender
algorithms that are able to run on the mobile device, since Internet
connectivity cannot be assumed to be available. Therefore, we evaluate
the performance of several tag recommendation algorithms and discuss
their applicability in the mobile sensing use-case.