Xiaohui Wang
ABSTRACT
Human computation games (HCGs) are information systems that use video games to harness human intelligence to solve large-scale problems that are beyond the capacity of artificial intelligence. HCGs present researchers with opportunities to solve computational problems in an enjoyable way. Despite their increasing popularity, insufficient research has been conducted to examine the predictors of players' acceptance for HCGs based on sound theoretical frameworks. This study proposed an integrated model that incorporates hedonic and utilitarian factors to predict players' acceptance of a HCG for music tagging.
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Index Terms
- Determinants of Human Computation Game Acceptance
Recommendations
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