The notion of consensus is frequently employed in crowdsourcing applications/systems as a solution for quality assessment of task results, either based on an explicit or implicit notion of agreement among workers. In this paper, we describe the task-design activities in our crowdsourcing systems called Argo, where consensus/agreement parameters and constraints are specified and actually enforced. The configuration of system-level parameters is discussed and experience of task-design and execution on a real case-study of web-resource labeling is presented.

Designing crowdsourcing tasks with consensus constraints / S. Castano, A. Ferrara, S. Montanelli - In: International Conference on Collaboration Technologies and Systems[s.l] : IEEE, 2016. - ISBN 9781509022991. - pp. 97-103 (( convegno CTS tenutosi a Orlando nel 2016 [10.1109/CTS.2016.33].

Designing crowdsourcing tasks with consensus constraints

S. Castano;A. Ferrara;S. Montanelli
2016

Abstract

The notion of consensus is frequently employed in crowdsourcing applications/systems as a solution for quality assessment of task results, either based on an explicit or implicit notion of agreement among workers. In this paper, we describe the task-design activities in our crowdsourcing systems called Argo, where consensus/agreement parameters and constraints are specified and actually enforced. The configuration of system-level parameters is discussed and experience of task-design and execution on a real case-study of web-resource labeling is presented.
Argo crowdsourcing system; Consensus-based task evaluation; Flexible task design
Settore INF/01 - Informatica
2016
Ball Aerospace and Technologies Corp.
Honeywell International Inc.
Intel Corporation
Knowledge Based Systems, Inc. (KBSI)
Microsoft Research
Springer Verlag
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/500923
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