Citizense — A generic user-oriented participatory sensing framework

Khoi, Ngo Manh; Rodríguez-Pupo, Luis E.; Casteleyn, Sven

doi:10.1109/mownet.2017.8045954

Cited by 9 publications

(18 citation statements)

References 15 publications

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“…In this section, we compare our proposed Citizense participatory sensing framework [14] with other existing participatory sensing applications in order to point out Citizense's distinctive features. The summary of Citizense will be presented in Sections 3.1 and 4.2.…”

Section: An Analysis Of the Selected Participatory Sensing Applicatiomentioning

confidence: 99%

“…In order to provide a comprehensive picture of the Citizense framework and its deployment, we provide here a brief overview of Citizense and its main functionalities. Citizense is designed as a generic user-oriented participatory sensing framework, aiming to make participatory sensing accessible to all users, regardless of their role (i.e., defining data collection campaigns, gathering the required data) [14]. As an open source software, the source code of the Citizense framework is accessible from the project's OCT repository [62], and it is redistributed under the Apache v2 license, which effectively makes the code reusable [63].…”

Section: The Citizense Frameworkmentioning

confidence: 99%

“…The aim in this article is twofold: (i) to study the interaction between Citizense and participants with demographically different backgrounds and its effectiveness to gather various types of urban information, and (ii) to study the participants' spatial and temporal behavior. To do so, we first describe how Citizense [14], a generic participatory sensing framework developed by the authors, assists the participants in creating participatory sensing campaigns and collecting the required information, and point out its novelties (Section 3). We then describe a deployment of the Citizense framework in a real-world scenario, in which 359 participants were exposed to 44 different sensing campaigns (Section 4).…”

Section: Introductionmentioning

confidence: 99%

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Analyzing Spatial and Temporal User Behavior in Participatory Sensing

Khoi

Casteleyn

2018

IJGI

Self Cite

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The large number of mobile devices and their increasingly powerful computing and sensing capabilities have enabled the participatory sensing concept. Participatory sensing applications are now able to effectively collect a variety of information types with high accuracy. Success, nevertheless, depends largely on the active participation of the users. In this article, we seek to understand spatial and temporal user behaviors in participatory sensing. To do so, we conduct a large-scale deployment of Citizense, a multi-purpose participatory sensing framework, in which 359 participants of demographically different backgrounds were simultaneously exposed to 44 participatory sensing campaigns of various types and contents. This deployment has successfully gathered various types of urban information and at the same time portrayed the participants’ different spatial, temporal and behavioral patterns. From this deployment, we can conclude that (i) the Citizense framework can effectively help participants to design data collecting processes and collect the required data, (ii) data collectors primarily contribute in their free time during the working week; much fewer submissions are done during the weekend, (iii) the decision to respond and complete a particular participatory sensing campaign seems to be correlated to the campaign’s geographical context and/or the recency of the data collectors’ activities, and (iv) data collectors can be divided into two groups according to their behaviors: a smaller group of active data collectors who frequently perform participatory sensing activities and a larger group of regular data collectors who exhibit more intermittent behaviors. These identified user behaviors open avenues to improve the design and operation of future participatory sensing applications.

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Section: An Analysis Of the Selected Participatory Sensing Applicatiomentioning

confidence: 99%

Section: The Citizense Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Analyzing Spatial and Temporal User Behavior in Participatory Sensing

Khoi

Casteleyn

2018

IJGI

Self Cite

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“…Some important requirements/features include user privacy, multi-purpose, real-time visualization of the results, ability to give feedback to the participants, and incentive mechanisms. Subsequently, a prototype was built incorporating the identified requirements/features (Khoi et al, 2017) and deployed in real-world scenarios. These deployments seek to verify the usability of the framework and examine how participants of diverse backgrounds react to the features implemented in the framework (e.g., incentive, contextawareness).…”

Section: Adoption Of Open Data Standardsmentioning

confidence: 99%

Geo-C: Enabling Open Cities and the Open City Toolkit

Granell

Bhattacharya

Casteleyn

et al. 2018

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The GEO-C doctoral programme, entitled "Geoinformatics: Enabling Open Cities", is funded by the EU Marie Skłodowska-Curie actions (International Training Networks (ITN), European Joint Doctorates) until December 2018, and is managed by three European universities in Germany, Portugal and Spain. 15 doctoral grantholders (Early Stage Researchers) were selected to work on specific three-year projects, all contributing to improving the notion of open cities, and specifically to an Open City Toolkit of methodologies, code, and best practice examples. Contributions include volunteered geographic information (VGI), public information displays, mobility apps to encourage green living, providing open data to immigrant populations, reducing the second-order digital divide, sensing of quality of life, proximity based privacy protection, and spatio-temporal online social media analysis. All doctoral students conducted long-term visits and were embedded in city governments and businesses, to gain experience from multiple perspectives in addition to the researcher and users' perspective. The projects are situated within three areas: transparency, participation, and collaboration. They took mostly a bottom-up (citizen-centric) approach to (smart) open cities, rather than relying on large IT companies to create smart open cities in a top-down manner. This paper discusses the various contributions to enabling open cities, explains in some detail the Open City Toolkit, and its possible uses and impact on stakeholders. A follow-up doctoral program has been solicited and, if successful, will continue this line of research and will strengthen aspects of privacy, data provenance, and trust, in an effort to improve relations between data (e.g. news) publishers and consumers.

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“…For example, the city in common framework [45], the citizen sensing toolkit [46], the biodiversity guide to citizen science [47], the European citizen science association collection of guidelines and principles for citizen science [48]. Also, tools such as Ushahidi, the citizen field engineer [44], Alltagsspuren [49], Citizense [50] support the process of initiating a citizen science initiative in an effective manner with limited resources. Yet, there is still a need to develop standards that are widely known for ensuring that in a future we can explore and integrate data from different data sources and projects.…”

Section: Challengesmentioning

confidence: 99%

Shut up and take my environmental data! A study on ICT enabled citizen science practices, participation approaches and challenges

Palacin-Silva

Porras

EPiC Series in Computing

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Citizen Science initiatives have been around since the 20th century in numerous fields, from astronomy to health monitoring. In recent years, social changes mediated by the development of information and communication technologies have pivoted new types of civic actions, which have enabled an expansion in the breath of citizen science applications. This civic technology has become a genuine interactive and inclusive opportunity for engaging citizens in the continuous collection of data relevant to science, governance, businesses, communal living, as well as individual concerns. This article presents the practices, trends and challenges of 108 ICT enabled citizen science projects. In addition, we present a palette for participation in ICT enabled citizen science that depicts the shapes civic participation is currently taking in different contexts. We discuss the potential uses of this palette for improving the engineering of ICT citizen science platforms to better fit the needs of volunteers and build opportunities for active engagement.

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Citizense — A generic user-oriented participatory sensing framework

Cited by 9 publications

References 15 publications

Analyzing Spatial and Temporal User Behavior in Participatory Sensing

Analyzing Spatial and Temporal User Behavior in Participatory Sensing

Geo-C: Enabling Open Cities and the Open City Toolkit

Shut up and take my environmental data! A study on ICT enabled citizen science practices, participation approaches and challenges

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