research-article

Sensr: evaluating a flexible framework for authoring mobile data-collection tools for citizen science

Authors:

Jennifer Mankoff,

Eric PaulosAuthors Info & Claims

CSCW '13: Proceedings of the 2013 conference on Computer supported cooperative work

Pages 1453 - 1462

https://doi.org/10.1145/2441776.2441940

Published: 23 February 2013 Publication History

Abstract

Across HCI and social computing platforms, mobile applications that support citizen science, empowering non-experts to explore, collect, and share data have emerged. While many of these efforts have been successful, it remains difficult to create citizen science applications without extensive programming expertise. To address this concern, we present Sensr, an authoring environment that enables people without programming skills to build mobile data collection and management tools for citizen science. We demonstrate how Sensr allows people without technical skills to create mobile applications. Findings from our case study demonstrate that our system successfully overcomes technical constraints and provides a simple way to create mobile data collection tools.

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https://dl.acm.org/doi/10.1145/3637309
Bassem CDelcourt CKobayashi SMao Y(2024)Snap’N’Go: An Extendable Framework for Evaluating Mechanisms in Mobile Crowdsensing2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)10.1109/PerComWorkshops59983.2024.10503112(661-665)Online publication date: 11-Mar-2024
https://doi.org/10.1109/PerComWorkshops59983.2024.10503112
Flores H(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
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Index Terms

Sensr: evaluating a flexible framework for authoring mobile data-collection tools for citizen science
1. Human-centered computing

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Published In

cover image ACM Conferences

CSCW '13: Proceedings of the 2013 conference on Computer supported cooperative work

February 2013

1594 pages

ISBN:9781450313315

DOI:10.1145/2441776

General Chairs:
Amy Bruckman
Georgia Institute of Technology, USA
,
Scott Counts
Microsoft Research, USA
,
Program Chairs:
Cliff Lampe
University of Michigan, USA
,
Loren Terveen
University of Minnesota, USA

Copyright © 2013 ACM.

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: 23 February 2013

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CSCW '13: Computer Supported Cooperative Work

February 23 - 27, 2013

Texas, San Antonio, USA

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Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

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https://dl.acm.org/doi/10.1145/3637309
Bassem CDelcourt CKobayashi SMao Y(2024)Snap’N’Go: An Extendable Framework for Evaluating Mechanisms in Mobile Crowdsensing2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)10.1109/PerComWorkshops59983.2024.10503112(661-665)Online publication date: 11-Mar-2024
https://doi.org/10.1109/PerComWorkshops59983.2024.10503112
Flores H(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
https://doi.org/10.1109/MPRV.2024.3391906
Batsaikhan AHachinger S(2023)A Progressive Web App Template for Citizen Science Projects Involving Spatial Data Collection2023 IEEE 19th International Conference on e-Science (e-Science)10.1109/e-Science58273.2023.10254925(1-6)Online publication date: 9-Oct-2023
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Vaddepalli KPalacin VPorras JHapponen A(2023)Taxonomy of Data Quality Metrics in Digital Citizen ScienceIntelligent Sustainable Systems10.1007/978-981-19-7660-5_34(391-410)Online publication date: 1-Jan-2023
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