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

Publication series

NameProceedings - 5th International Conference on Advanced Cloud and Big Data, CBD 2017

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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