Abstract
Applications that use gaming elements to harness human intelligence to tackle computational tasks are increasing in popularity and may be termed as Human Computation Games (HCGs). Recently, HCGs have been utilized to offer a more engaging experience for mobile information sharing. Yet, there is a lack of research that examines individuals’ personality and behaviors related to HCGs. This understanding may be important in identifying HCG features that suit different personality orientations. Thus, this study aims to investigate the influence of individuals’ personality and perceptions of information quality on intention to play HCG for mobile information sharing. In a study of 205 participants, results revealed that personality traits of extraversion and openness, as well as perceived information accuracy and relevancy were significant in predicting intention to play. Implications of our work are also discussed.
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Pe-Than, E.P.P., Goh, D.HL., Lee, C.S. (2013). Playing Human Computation Games for Mobile Information Sharing: The Influence of Personality and Perceived Information Quality. In: Urs, S.R., Na, JC., Buchanan, G. (eds) Digital Libraries: Social Media and Community Networks. ICADL 2013. Lecture Notes in Computer Science, vol 8279. Springer, Cham. https://doi.org/10.1007/978-3-319-03599-4_18
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DOI: https://doi.org/10.1007/978-3-319-03599-4_18
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