Stop the Noise! Enhancing Meaningfulness in Participatory Sensing with Community Level Indicators

Saskia Coulson, Melanie Woods, Michelle Scott, Drew Hemment, M Balestrini

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

In this paper we examine ways to make data more meaningful and useful for citizens in participatory sensing. Participatory sensing has evolved as a digitally enabled grassroots approach to data collection for citizens with shared concerns. However, citizens often struggle to understand data in relation to their daily lives, and use them effectively. This paper presents a qualitative study on the development of a novel approach to Community Level Indicators (CLIs) during two participatory sensing projects focused on noise pollution. It investigates how CLIs can provide an infrastructure to address challenges in participatory sensing, specifically, making data meaningful and useful for non-experts. Furthermore, we consider how this approach moves towards an ambition of achieving change and impact through participatory sensing and discuss the challenges in this way of working and provide recommendations for future use of CLIs.
Original languageEnglish
Title of host publicationProceedings of the 2018 Designing Interactive Systems Conference
PublisherAssociation for Computing Machinery (ACM)
Pages1183-1192
Number of pages10
ISBN (Electronic)978-1-4503-5198-0
DOIs
Publication statusPublished - 8 Jun 2018
EventDesign interactive Systems 2018 - The School of Design of the Hong Kong Polytechnic University, Hong Kong, China
Duration: 9 Jun 201813 Jun 2018
http://dis2018.org/

Conference

ConferenceDesign interactive Systems 2018
Abbreviated titleDIS 2018
CountryChina
CityHong Kong
Period9/06/1813/06/18
Internet address

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Noise pollution

Keywords

  • Community Level Indicators
  • Noise pollution
  • Participatory Sensing
  • Research Methods
  • Co-Design

Cite this

Coulson, S., Woods, M., Scott, M., Hemment, D., & Balestrini , M. (2018). Stop the Noise! Enhancing Meaningfulness in Participatory Sensing with Community Level Indicators. In Proceedings of the 2018 Designing Interactive Systems Conference (pp. 1183-1192). Association for Computing Machinery (ACM). https://doi.org/10.1145/3196709.3196762
Coulson, Saskia ; Woods, Melanie ; Scott, Michelle ; Hemment, Drew ; Balestrini , M. / Stop the Noise! Enhancing Meaningfulness in Participatory Sensing with Community Level Indicators. Proceedings of the 2018 Designing Interactive Systems Conference. Association for Computing Machinery (ACM), 2018. pp. 1183-1192
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Coulson, S, Woods, M, Scott, M, Hemment, D & Balestrini , M 2018, Stop the Noise! Enhancing Meaningfulness in Participatory Sensing with Community Level Indicators. in Proceedings of the 2018 Designing Interactive Systems Conference. Association for Computing Machinery (ACM), pp. 1183-1192, Design interactive Systems 2018, Hong Kong, China, 9/06/18. https://doi.org/10.1145/3196709.3196762

Stop the Noise! Enhancing Meaningfulness in Participatory Sensing with Community Level Indicators. / Coulson, Saskia; Woods, Melanie; Scott, Michelle ; Hemment, Drew; Balestrini , M.

Proceedings of the 2018 Designing Interactive Systems Conference. Association for Computing Machinery (ACM), 2018. p. 1183-1192.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Coulson S, Woods M, Scott M, Hemment D, Balestrini M. Stop the Noise! Enhancing Meaningfulness in Participatory Sensing with Community Level Indicators. In Proceedings of the 2018 Designing Interactive Systems Conference. Association for Computing Machinery (ACM). 2018. p. 1183-1192 https://doi.org/10.1145/3196709.3196762