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Dynamic and goal-based quality management for human-based electronic services

Kern, Robert; Thies, Hans; Zirpins, Christian; Satzger, Gerhard

Crowdsourcing in the form of human-based electronic services (people services) provides a powerful way of outsourcing tasks to a large crowd of remote workers over the Internet. Research has shown that multiple redundant results delivered by different workers can be aggregated in order to achieve a reliable result. However, basic implementations of this approach are rather inefficient as they multiply the effort for task execution and are not able to guarantee a certain quality level. In this paper we are addressing these challenges by elaborating on a statistical approach for quality management of people services which we had previously proposed. The approach combines elements of statistical quality management with dynamic group decisions. We present a comprehensive statistical model that enhances our original work and makes it more transparent. We also provide an extendible toolkit that implements our model and facilitates its application to real-time experiments as well as to simulations. A quantitative analysis based on an optical character recognition (OCR) scenario confirms the efficiency and reach of our model.

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DOI: 10.5445/IR/1000026818
DOI: 10.1142/S0218843012400011
Zitationen: 8
Web of Science
Zitationen: 9
Cover der Publikation
Zugehörige Institution(en) am KIT Karlsruhe Service Research Institute (KSRI)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2012
Sprache Englisch
Identifikator ISSN: 0218-2157, 0218-8430, 1793-6365
KITopen-ID: 1000026818
Erschienen in International journal of cooperative information systems
Band 21
Heft 1
Seiten 3-29
Nachgewiesen in Scopus
Web of Science
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