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

Published: 08 June 2018 Publication History

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.

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cover image ACM Conferences
DIS '18: Proceedings of the 2018 Designing Interactive Systems Conference
June 2018
1418 pages
ISBN:9781450351980
DOI:10.1145/3196709
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 08 June 2018

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Author Tags

  1. co-design
  2. community level indicators
  3. noise pollution
  4. participatory sensing
  5. research methods

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  • European Commission

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DIS '18 Paper Acceptance Rate 107 of 487 submissions, 22%;
Overall Acceptance Rate 1,158 of 4,684 submissions, 25%

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  • (2024)The Role of Micromobility in Environmental Monitoring: Reflections and Opportunities on the Use of Pervasive SensingIEEE Pervasive Computing10.1109/MPRV.2024.339190623:2(18-26)Online publication date: Apr-2024
  • (2023)Co-creating Community-level Indicators: Involving Communities in the Digitalization of Energy for Empowering Energy Citizenship2023 46th MIPRO ICT and Electronics Convention (MIPRO)10.23919/MIPRO57284.2023.10159888(1392-1397)Online publication date: 22-May-2023
  • (2023)Tangible Data Exploration: Creating Card Games for Sensemaking2023 46th MIPRO ICT and Electronics Convention (MIPRO)10.23919/MIPRO57284.2023.10159800(50-55)Online publication date: 22-May-2023
  • (2022)From Environmental Monitoring to Mitigation Action: Considerations, Challenges, and Opportunities for HCIProceedings of the ACM on Human-Computer Interaction10.1145/35550936:CSCW2(1-31)Online publication date: 11-Nov-2022
  • (2022)The Air Quality Lens: Ambiguity as Opportunity to Reactivate Environmental DataProceedings of the 2022 ACM Designing Interactive Systems Conference10.1145/3532106.3533530(335-348)Online publication date: 13-Jun-2022
  • (2022)What's the Situation with Situated Visualization? A Survey and Perspectives on SituatednessIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.311483528:1(107-117)Online publication date: Jan-2022
  • (2022)Participatory Citizen Sensing with a Focus on Urban IssuesInternet of Things for Smart Environments10.1007/978-3-031-09729-4_5(71-91)Online publication date: 17-Sep-2022
  • (2022)Data and the Localization of Sustainable Development Goals in Africa: The Case of SDG 11 in Lagos and AccraLocalizing the SDGs in African Cities10.1007/978-3-030-95979-1_8(115-131)Online publication date: 20-Jul-2022
  • (2021)Participatory DesignSynthesis Lectures on Human-Centered Informatics10.2200/S01136ED1V01Y202110HCI05214:5Online publication date: 9-Nov-2021
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