dc.contributor.author |
Moganedi, Sophia
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dc.contributor.author |
Mkhonto, Njabulo
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dc.contributor.author |
Mtsweni, Jabu S
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dc.date.accessioned |
2017-05-17T07:02:01Z |
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dc.date.available |
2017-05-17T07:02:01Z |
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dc.date.issued |
2016-12 |
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dc.identifier.citation |
Moganedi, S., Mkhonto, N. and Mtsweni, J.S. 2016. Evaluating the development and implementation of a profile-aware microtasking platform for crowdsourcing services. CITST2016, 5-7 December 2016, Spain Barcelona. DOI: 10.1109/ICITST.2016.7856725 |
en_US |
dc.identifier.isbn |
978-1-908320-73-5 |
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dc.identifier.uri |
http://ieeexplore.ieee.org/document/7856725/
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dc.identifier.uri |
DOI: 10.1109/ICITST.2016.7856725
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|
dc.identifier.uri |
http://hdl.handle.net/10204/9086
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dc.description |
ICITST2016, 5-7 December 2016, Spain Barcelona. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website. |
en_US |
dc.description.abstract |
Crowdsourcing platforms have changed the assignment and completion of tasks from a known crowd to the anonymous crowd, which is the public. These crowdsourcing platforms allow organizations to focus on other tasks that need to be completed by a large crowd instead of the employees. However, many crowdsourcing platforms have not addressed challenges related to target audience with regards to task assignment, whereby the tasks are assigned to relevant people with appropriate core skills and qualifications. Our proposed microtasking platform from previous research is meant to address some of these challenges. This microtasking platform allows a micro-employer to design a task and assign it to be completed by a specific crowd of a specific skill and qualification. The purpose of this paper is thus to explore the proposed microtasking platform implementation, evaluating its task assignment improvements and task quality, as it was designed to improve the task assigning model and ensure better utilization of the crowd while preserving anonymity. The results obtained from this paper indicate the implementation concept from the proposed approach and revealed other shortcomings. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
IEEE |
en_US |
dc.relation.ispartofseries |
Worklist;17677 |
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dc.subject |
Crowdsourcing |
en_US |
dc.subject |
Task assignment |
en_US |
dc.subject |
Task quality |
en_US |
dc.subject |
Microtasking |
en_US |
dc.subject |
Anonymity |
en_US |
dc.title |
Evaluating the development and implementation of a profile-aware microtasking platform for crowdsourcing services |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.identifier.apacitation |
Moganedi, S., Mkhonto, N., & Mtsweni, J. S. (2016). Evaluating the development and implementation of a profile-aware microtasking platform for crowdsourcing services. IEEE. http://hdl.handle.net/10204/9086 |
en_ZA |
dc.identifier.chicagocitation |
Moganedi, Sophia, Njabulo Mkhonto, and Jabu S Mtsweni. "Evaluating the development and implementation of a profile-aware microtasking platform for crowdsourcing services." (2016): http://hdl.handle.net/10204/9086 |
en_ZA |
dc.identifier.vancouvercitation |
Moganedi S, Mkhonto N, Mtsweni JS, Evaluating the development and implementation of a profile-aware microtasking platform for crowdsourcing services; IEEE; 2016. http://hdl.handle.net/10204/9086 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Moganedi, Sophia
AU - Mkhonto, Njabulo
AU - Mtsweni, Jabu S
AB - Crowdsourcing platforms have changed the assignment and completion of tasks from a known crowd to the anonymous crowd, which is the public. These crowdsourcing platforms allow organizations to focus on other tasks that need to be completed by a large crowd instead of the employees. However, many crowdsourcing platforms have not addressed challenges related to target audience with regards to task assignment, whereby the tasks are assigned to relevant people with appropriate core skills and qualifications. Our proposed microtasking platform from previous research is meant to address some of these challenges. This microtasking platform allows a micro-employer to design a task and assign it to be completed by a specific crowd of a specific skill and qualification. The purpose of this paper is thus to explore the proposed microtasking platform implementation, evaluating its task assignment improvements and task quality, as it was designed to improve the task assigning model and ensure better utilization of the crowd while preserving anonymity. The results obtained from this paper indicate the implementation concept from the proposed approach and revealed other shortcomings.
DA - 2016-12
DB - ResearchSpace
DP - CSIR
KW - Crowdsourcing
KW - Task assignment
KW - Task quality
KW - Microtasking
KW - Anonymity
LK - https://researchspace.csir.co.za
PY - 2016
SM - 978-1-908320-73-5
T1 - Evaluating the development and implementation of a profile-aware microtasking platform for crowdsourcing services
TI - Evaluating the development and implementation of a profile-aware microtasking platform for crowdsourcing services
UR - http://hdl.handle.net/10204/9086
ER -
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en_ZA |