A workload-dependent task assignment policy for crowdsourcing
A workload-dependent task assignment policy for crowdsourcing
Crowdsourcing marketplaces have emerged as an effective tool for high-speed, low-cost labeling of massive data sets. Since the labeling accuracy can greatly vary from worker to worker, we are faced with the problem of assigning labeling tasks to workers so as to maximize the accuracy associated with their answers. In this work, we study the problem of assigning workers to tasks under the assumption that workers' reliability could change depending on their workload, as a result of, e.g., fatigue and learning. We offer empirical evidence of the existence of a workload-dependent accuracy variation among workers, and propose solution procedures for our Crowdsourced Labeling Task Assignment Problem, which we validate on both synthetic and real data sets.
Catallo, Ilio
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Coniglio, Stefano
03838248-2ce4-4dbc-a6f4-e010d6fdac67
Fraternali, Piero
69d3e822-3b59-4fb5-8256-ef827a488dd1
Martinenghi, Davide
e7cf75bb-7f65-4758-ace0-d5925e3181c1
14 January 2017
Catallo, Ilio
7cb40ca3-83a7-4e25-aaf4-449dc5c3c358
Coniglio, Stefano
03838248-2ce4-4dbc-a6f4-e010d6fdac67
Fraternali, Piero
69d3e822-3b59-4fb5-8256-ef827a488dd1
Martinenghi, Davide
e7cf75bb-7f65-4758-ace0-d5925e3181c1
Catallo, Ilio, Coniglio, Stefano, Fraternali, Piero and Martinenghi, Davide
(2017)
A workload-dependent task assignment policy for crowdsourcing.
World Wide Web.
(doi:10.1007/s11280-016-0428-7).
Abstract
Crowdsourcing marketplaces have emerged as an effective tool for high-speed, low-cost labeling of massive data sets. Since the labeling accuracy can greatly vary from worker to worker, we are faced with the problem of assigning labeling tasks to workers so as to maximize the accuracy associated with their answers. In this work, we study the problem of assigning workers to tasks under the assumption that workers' reliability could change depending on their workload, as a result of, e.g., fatigue and learning. We offer empirical evidence of the existence of a workload-dependent accuracy variation among workers, and propose solution procedures for our Crowdsourced Labeling Task Assignment Problem, which we validate on both synthetic and real data sets.
Text
task-assignment
- Accepted Manuscript
More information
Accepted/In Press date: 12 December 2016
e-pub ahead of print date: 14 January 2017
Published date: 14 January 2017
Organisations:
Operational Research
Identifiers
Local EPrints ID: 406193
URI: http://eprints.soton.ac.uk/id/eprint/406193
ISSN: 1573-1413
PURE UUID: 79e9b2f0-0938-46c3-bd04-3f178682a5a8
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Date deposited: 10 Mar 2017 10:41
Last modified: 16 Mar 2024 05:06
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Contributors
Author:
Ilio Catallo
Author:
Piero Fraternali
Author:
Davide Martinenghi
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