research-article

Constrained data acquisition for mobile citizen science applications

Authors:

Armando Barreto,

Maribel Hudson,

Hussain Al-Helal,

Sprinkle JonathanAuthors Info & Claims

SPLASH '11 Workshops: Proceedings of the compilation of the co-located workshops on DSM'11, TMC'11, AGERE! 2011, AOOPES'11, NEAT'11, & VMIL'11

Pages 267 - 272

https://doi.org/10.1145/2095050.2095095

Published: 23 October 2011 Publication History

Abstract

The popularity and ubiquity of personal mobile computing devices' coupled with their powerful sensing capabilities' allow their application in the structured collection of data for societal benefit and science applications. Citizen scientists are willing users and active contributors to scientific research and applications, but if they gather data in an unconstrained or ad hoc manner, their efforts may be of little scientific value. In this paper, we present a user interface for a mobile device which is properly constrained to permit the gathering of valid scientific data. This helps to achieve the goal that any individual with a basic familiarity of the device (but not of the science) should be able to obtain useful data with little learning required. As a use case for this concept, we present a mobile application that allows user to collect location-stamped images to supplement satellite data for climate change research.

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Cited By

Underwood LEdwards ERubegni EHodges SVidler JFinney JStone JYuen TShoop LRebelsky SPrather J(2025)Toolkit for Educators of Data Science: Using Physical Computing to Support Data Science Education in the ClassroomProceedings of the 56th ACM Technical Symposium on Computer Science Education V. 110.1145/3641554.3701970(1141-1147)Online publication date: 12-Feb-2025
https://dl.acm.org/doi/10.1145/3641554.3701970
Bioco JFazendeiro P(2019)Towards Forest Fire Prevention and Combat Through Citizen ScienceNew Knowledge in Information Systems and Technologies10.1007/978-3-030-16181-1_85(904-915)Online publication date: 27-Mar-2019
https://doi.org/10.1007/978-3-030-16181-1_85
Zhang KSprinkle J(2013)Model-Based Software Synthesis for Self-Reconfigurable Sensor Network in Water MonitoringProceedings of the 20th Annual IEEE International Conference and Workshops on the Engineering of Computer Based Systems10.1109/ECBS.2013.34(40-48)Online publication date: 22-Apr-2013
https://dl.acm.org/doi/10.1109/ECBS.2013.34

Index Terms

Constrained data acquisition for mobile citizen science applications
1. Applied computing
  1. Physical sciences and engineering
    1. Earth and atmospheric sciences
2. Social and professional topics

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cover image ACM Conferences

SPLASH '11 Workshops: Proceedings of the compilation of the co-located workshops on DSM'11, TMC'11, AGERE! 2011, AOOPES'11, NEAT'11, & VMIL'11

October 2011

358 pages

ISBN:9781450311830

DOI:10.1145/2095050

General Chair:
Crista Videira Lopes
University of California, Irvine

Copyright © 2011 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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 October 2011

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SPLASH '11

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SPLASH '11: Conference on Systems, Programming, and Applications: Software for Humanity

October 23 - 24, 2011

Oregon, Portland, USA

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Cited By

Underwood LEdwards ERubegni EHodges SVidler JFinney JStone JYuen TShoop LRebelsky SPrather J(2025)Toolkit for Educators of Data Science: Using Physical Computing to Support Data Science Education in the ClassroomProceedings of the 56th ACM Technical Symposium on Computer Science Education V. 110.1145/3641554.3701970(1141-1147)Online publication date: 12-Feb-2025
https://dl.acm.org/doi/10.1145/3641554.3701970
Bioco JFazendeiro P(2019)Towards Forest Fire Prevention and Combat Through Citizen ScienceNew Knowledge in Information Systems and Technologies10.1007/978-3-030-16181-1_85(904-915)Online publication date: 27-Mar-2019
https://doi.org/10.1007/978-3-030-16181-1_85
Zhang KSprinkle J(2013)Model-Based Software Synthesis for Self-Reconfigurable Sensor Network in Water MonitoringProceedings of the 20th Annual IEEE International Conference and Workshops on the Engineering of Computer Based Systems10.1109/ECBS.2013.34(40-48)Online publication date: 22-Apr-2013
https://dl.acm.org/doi/10.1109/ECBS.2013.34

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