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mCrowd: a platform for mobile crowdsourcing

Published: 04 November 2009 Publication History

Abstract

Crowdsourcing is a new paradigm for utilizing the power of "crowds" of people to facilitate large scale tasks that are costly or time consuming with traditional methods. Crowdsourcing has enormous potential that can be truly unleashed when extended to sensor-rich mobile devices, such as smart phones. In this paper, we demonstrate mCrowd, an iPhone based mobile crowdsourcing platform that enables mobile users to post and work on sensor-related crowdsourcing tasks. mCrowd enables mobile users to fully utilize the rich sensors equipped with iPhone to participate and accomplish crowdsourcing tasks at fingertips, including geolocation-aware image collection, image tagging, road traffic monitoring, and others.

References

[1]
chacha: Your mobile bff. http://www.chacha.com.
[2]
The ireport. http://www.ireport.com/about.jspa.
[3]
mcrowd: The world's workforce at your fingertips. http://crowd.cs.umass.edu.
[4]
E. Miluzzo, N. D. Lane, K. Fodor, R. Peterson, H. Lu, M. Musolesi, S. B. Eisenman, X. Zheng, and A. T. Campbell. Sensing meets mobile social networks: the design, implementation and evaluation of the cenceme application. In SenSys'08, pages 337--350, New York, NY, USA, 2008. ACM.
[5]
Amazon mechanical turk. https://www.mturk.com/mturk/welcome.
[6]
Nokia sensor planet. http://research.nokia.com/research/projects/sensorplanet/index.html.
[7]
Urban sensing. http://urban.cens.ucla.edu/projects/peir/.
[8]
L. von Ahn, B. Maurer, C. Mcmillen, D. Abraham, and M. Blum. recaptcha: Human-based character recognition via web security measures. Science, August 2008.
[9]
The wikipedia. http://en.wikipedia.org/.

Cited By

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  • (2024)Modeling Real-Time Task Assignment for Mobile Crowdsourcing in Opportunistic NetworksIEEE Transactions on Services Computing10.1109/TSC.2024.3463419(1-14)Online publication date: 2024
  • (2024)An Online Fairness-Aware Task Planning Approach for Spatial CrowdsourcingIEEE Transactions on Mobile Computing10.1109/TMC.2022.322911223:1(150-163)Online publication date: Jan-2024
  • (2023)Evaluating Collaborative and Autonomous Agents in Data-Stream-Supported Coordination of Mobile CrowdsourcingSensors10.3390/s2302061423:2(614)Online publication date: 5-Jan-2023
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    cover image ACM Conferences
    SenSys '09: Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
    November 2009
    438 pages
    ISBN:9781605585192
    DOI:10.1145/1644038

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 04 November 2009

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    Author Tags

    1. Mechanical Turk
    2. crowdsourcing
    3. mobile sensing

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    Overall Acceptance Rate 198 of 990 submissions, 20%

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    View all
    • (2024)Modeling Real-Time Task Assignment for Mobile Crowdsourcing in Opportunistic NetworksIEEE Transactions on Services Computing10.1109/TSC.2024.3463419(1-14)Online publication date: 2024
    • (2024)An Online Fairness-Aware Task Planning Approach for Spatial CrowdsourcingIEEE Transactions on Mobile Computing10.1109/TMC.2022.322911223:1(150-163)Online publication date: Jan-2024
    • (2023)Evaluating Collaborative and Autonomous Agents in Data-Stream-Supported Coordination of Mobile CrowdsourcingSensors10.3390/s2302061423:2(614)Online publication date: 5-Jan-2023
    • (2023)Active Acoustic Sensing for “Hearing” Temperature Under Acoustic InterferenceIEEE Transactions on Mobile Computing10.1109/TMC.2021.309679222:2(661-673)Online publication date: 1-Feb-2023
    • (2023)Health Crowd Sensing and Computing: From Crowdsourced Digital Health Footprints to Population Health IntelligenceMobile Crowdsourcing10.1007/978-3-031-32397-3_15(387-408)Online publication date: 21-Apr-2023
    • (2022)Mobilizing Crowdwork:A Systematic Assessment of the Mobile Usability of HITsProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3501876(1-20)Online publication date: 29-Apr-2022
    • (2022)Adapting to Unknown Conditions in Learning-Based Mobile SensingIEEE Transactions on Mobile Computing10.1109/TMC.2021.306113021:10(3470-3485)Online publication date: 1-Oct-2022
    • (2022)SenseMyCity: a Mobile IoT Tool for Researching Intelligent Urban Mobility2022 14th International Conference on COMmunication Systems & NETworkS (COMSNETS)10.1109/COMSNETS53615.2022.9668516(725-733)Online publication date: 4-Jan-2022
    • (2022)Accountable attribute-based authentication with fine-grained access control and its application to crowdsourcingFrontiers of Computer Science10.1007/s11704-021-0593-417:1Online publication date: 8-Aug-2022
    • (2021)A Blockchain-Based Spatial Crowdsourcing System for Spatial Information Collection Using a Reward DistributionSensors10.3390/s2115514621:15(5146)Online publication date: 29-Jul-2021
    • Show More Cited By

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