Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/10232
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dc.contributor.authorDr. YUEN Man-Ching, Connieen_US
dc.contributor.authorChen, Ling-Jyhen_US
dc.contributor.authorKing, Irwinen_US
dc.date.accessioned2024-06-05T09:21:59Z-
dc.date.available2024-06-05T09:21:59Z-
dc.date.issued2009-
dc.identifier.citationYuen, M. C. (2009). A survey of human computation systems. In CSE (Ed.). Proceedings of the 12th IEEE international conference on computational science and engineering, CSE 2009, Vancouver, BC, Canada, August 29-31, 2009. 12th CSE 2009, Vanoucer, BC, Canada (pp. 723-728). IEEE.en_US
dc.identifier.isbn9781424453344-
dc.identifier.urihttp://hdl.handle.net/20.500.11861/10232-
dc.description.abstractHuman computation is a technique that makes use of human abilities for computation to solve problems. The human computation problems are the problems those computers are not good at solving but are trivial for humans. In this paper, we give a survey of various human computation systems which are categorized into initiatory human computation, distributed human computation and social game-based human computation with volunteers, paid engineers and online players. For the existing large number of social games, some previous works defined various types of social games, but the recent developed social games cannot be categorized based on the previous works. In this paper, we define the categories and the characteristics of social games which are suitable for all existing ones. Besides, we present a survey on the performance aspects of human computation system. This paper gives a better understanding on human computation system.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.titleA survey of human computation systems.en_US
dc.typeConference Paperen_US
dc.relation.conferenceThe 2009 International Symposium on Social Computing Applications (SCA 2009)en_US
dc.identifier.doi10.1109/CSE.2009.395-
crisitem.author.deptDepartment of Applied Data Science-
item.fulltextNo Fulltext-
Appears in Collections:Applied Data Science - Publication
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