Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/105897
Title: Making work fun : investigating antecedents of perceived enjoyment in human computation games for information sharing
Authors: Pe-Than, Ei Pa Pa
Goh, Dion Hoe-Lian
Lee, Chei Sian
Keywords: DRNTU::Social sciences::Psychology::Motivation
DRNTU::Business::General::Social aspects
DRNTU::Engineering::Computer science and engineering::Information systems::Information systems applications
Issue Date: 2014
Source: Pe-Than, E. P. P., Goh, D. H. L., & Lee, C. S. (2014). Making work fun: Investigating antecedents of perceived enjoyment in human computation games for information sharing. Computers in human behavior, 39, 88-99.
Series/Report no.: Computers in human behavior
Abstract: The advent of online games, crowdsourcing, and user-generated content has led to the emergence of a new paradigm called the Human Computation Game (HCG) which utilizes games as a motivator to encourage users’ participation in human computation. HCGs are different from games for pure entertainment which emphasize play and fun, rather than output generation. Therefore, research has yet to fully explore the factors underlying players’ perception of HCG enjoyment. In this paper, we study the influence of motivational needs satisfaction and perceived output quality on perceived HCG enjoyment using a survey (N = 205) of a location-based information sharing HCG called SPLASH, developed as part of our research. According to the results, perceived needs for autonomy, competence, and relatedness influence perceived enjoyment of HCGs, suggesting that HCGs that fulfill these three needs are more likely to be enjoyable, thereby encouraging players to make useful computations. The results also show that participants who perceive higher levels output relevancy report a greater level of enjoyment, indicating that HCGs that assist players in generating relevant outputs are more likely to be perceived as enjoyable.
URI: https://hdl.handle.net/10356/105897
http://hdl.handle.net/10220/20953
ISSN: 0747-5632
DOI: 10.1016/j.chb.2014.06.023
Schools: Wee Kim Wee School of Communication and Information 
Rights: © 2014 Elsevier Ltd. This is the author created version of a work that has been peer reviewed and accepted for publication by Computers in Human Behavior, Elsevier Ltd. 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/10.1016/j.chb.2014.06.023].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:WKWSCI Journal Articles

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