ABT: An Effective Ability-Balanced Team Based Incentive Mechanism in Crowdsourcing System

Yufeng Wang, Jie Huang, Qun Jin, Jianhua Ma

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

    Abstract

    Crowdsourcing systems which rely on a great deal of crowdworkers to perform large quantities of microtasks, have been leveraged in a variety of applications. There are two factors affecting the productive output of each crowdworker. One is skill level, which is private information to each crowdworker, and another is her variable expended effort. In this paper, we construct and analyze a total-Ability-balanced team based incentive mechanism ABT, which can stimulate the strategic crowdworkers to truthfully report their ability levels, and according to crowdworkers' ability levels, form the competing teams. Specifically, a crowdworker with a certain skill level, is askedto choose a specificskill level (i.e., denoted as an ability threshold), and a basic payment scheme is designed to incentivize the crowdworker to truthfully report her ability level. Then, according to the chosen ability thresholds, crowdworkers are organized into total ability balanced teams to earn extra team bonus, which can further motivate crowdworkers to exert more efforts. Compared to team formation process where workers are randomly assigned to the same-scale teams and the pay per task model, our scheme ABT can improve the work efficiency.

    Original languageEnglish
    Title of host publicationProceedings - 5th International Conference on Advanced Cloud and Big Data, CBD 2017
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages220-225
    Number of pages6
    ISBN (Electronic)9781538610725
    DOIs
    Publication statusPublished - 2017 Sep 6
    Event5th International Conference on Advanced Cloud and Big Data, CBD 2017 - Shanghai, China
    Duration: 2017 Aug 132017 Aug 16

    Other

    Other5th International Conference on Advanced Cloud and Big Data, CBD 2017
    CountryChina
    CityShanghai
    Period17/8/1317/8/16

    Keywords

    • Crowdsourcing system
    • Incentive mechanism
    • Labor divisions
    • Team competition

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Hardware and Architecture
    • Information Systems and Management

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  • Cite this

    Wang, Y., Huang, J., Jin, Q., & Ma, J. (2017). ABT: An Effective Ability-Balanced Team Based Incentive Mechanism in Crowdsourcing System. In Proceedings - 5th International Conference on Advanced Cloud and Big Data, CBD 2017 (pp. 220-225). [8026940] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CBD.2017.45