Statistical Quality Control for Human-Based Electronic Services
Identifieur interne : 000673 ( Main/Exploration ); précédent : 000672; suivant : 000674Statistical Quality Control for Human-Based Electronic Services
Auteurs : Robert Kern [Allemagne, États-Unis] ; Hans Thies [Allemagne] ; Gerhard Satzger [Allemagne, États-Unis]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2010.
Abstract
Abstract: Crowdsourcing in 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, existing 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. As a starting point towards an integrated approach for quality management of people services we have developed a quality management model that combines elements of statistical quality control (SQC) with group decision theory. The contributions of the workers are tracked and weighted individually in order to minimize the quality management effort while guaranteing a well-defined level of overall result quality. A quantitative analysis of the approach based on an optical character recognition (OCR) scenario confirms the efficiency and reach of the approach.
Url:
DOI: 10.1007/978-3-642-17358-5_17
Affiliations:
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Research has shown that multiple redundant results delivered by different workers can be aggregated in order to achieve a reliable result. However, existing 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. As a starting point towards an integrated approach for quality management of people services we have developed a quality management model that combines elements of statistical quality control (SQC) with group decision theory. The contributions of the workers are tracked and weighted individually in order to minimize the quality management effort while guaranteing a well-defined level of overall result quality. A quantitative analysis of the approach based on an optical character recognition (OCR) scenario confirms the efficiency and reach of the approach.</div></front></TEI><affiliations><list><country><li>Allemagne</li><li>États-Unis</li></country><region><li>Bade-Wurtemberg</li><li>District de Karlsruhe</li></region><settlement><li>Karlsruhe</li></settlement></list><tree><country name="Allemagne"><region name="Bade-Wurtemberg"><name sortKey="Kern, Robert" sort="Kern, Robert" uniqKey="Kern R" first="Robert" last="Kern">Robert Kern</name></region><name sortKey="Satzger, Gerhard" sort="Satzger, Gerhard" uniqKey="Satzger G" first="Gerhard" last="Satzger">Gerhard Satzger</name><name sortKey="Thies, Hans" sort="Thies, Hans" uniqKey="Thies H" first="Hans" last="Thies">Hans Thies</name><name sortKey="Thies, Hans" sort="Thies, Hans" uniqKey="Thies H" first="Hans" last="Thies">Hans Thies</name></country><country name="États-Unis"><noRegion><name sortKey="Kern, Robert" sort="Kern, Robert" uniqKey="Kern R" first="Robert" last="Kern">Robert Kern</name></noRegion><name sortKey="Satzger, Gerhard" sort="Satzger, Gerhard" uniqKey="Satzger G" first="Gerhard" last="Satzger">Gerhard Satzger</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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