Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/80888
Title: A typology of human computation games: an analysis and a review of current games
Authors: Pe-Than, Ei Pa Pa
Goh, Dion Hoe-Lian
Lee, Chei Sian
Keywords: DRNTU::Engineering::Computer science and engineering::Computer applications::Computers in other systems
Crowdsourcing games
Typology
Human computation games
Social computing
Survey
Issue Date: 2014
Source: Pe-Than, E. P. P., Goh, D. H. L.,& Lee, C. S. (2015). A typology of human computation games: an analysis and a review of current games. Behaviour & Information Technology, 34(8), 809-824.
Series/Report no.: Behaviour & Information Technology
Abstract: Human computation games (HCGs) utilise human intelligence for the purpose of problem solving through games. Recently, HCGs have increased in popularity within various application areas. A proper system of describing such games is necessary in order to obtain a better understanding of the current body of work and identify new opportunities for future research directions. To date, however, there is little research conducted in understanding how such games could be classified in a systematic manner. Past classification schemes rely either on quality or entertainment aspects of these games. In order to have a deeper understanding of such games, this study argues that they should be classified via different dimensions. As a starting point, this paper reviews existing literature on HCGs and then develops a typology consisting of 12 dimensions and related strategies. This typology provides a holistic view of HCGs, and provides a common understanding of the domain among researchers and designers. The typology will help researchers to better understand the nature and consequences of HCGs, and designers better identify strengths and weaknesses of different strategies for each dimension, thus facilitating the creation of entertaining and effective HCGs.
URI: https://hdl.handle.net/10356/80888
http://hdl.handle.net/10220/38865
ISSN: 0144-929X
DOI: 10.1080/0144929X.2013.862304
Schools: Wee Kim Wee School of Communication and Information 
Rights: © 2013 Taylor & Francis. This is the author created version of a work that has been peer reviewed and accepted for publication by Behaviour & Information Technology, Taylor & Francis. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1080/0144929X.2013.862304].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:WKWSCI Journal Articles

Files in This Item:
File Description SizeFormat 
Typology_BIT_Revised_Manuscript_Final_NTU.pdf391.14 kBAdobe PDFThumbnail
View/Open

SCOPUSTM   
Citations 20

17
Updated on Jun 18, 2024

Web of ScienceTM
Citations 20

12
Updated on Oct 24, 2023

Page view(s) 20

734
Updated on Jun 18, 2024

Download(s) 20

304
Updated on Jun 18, 2024

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.