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Human computation games (HCGs) are information systems that use video games to harnesses human intelligence to solve large-scale problems that are out of reach of the capacity of artificial intelligence. The reasons that people play HCGs are important for system success. However, a systematic investigation of the driving factors behind player’s adoption behavior based on a sound theoretical framework is lacking. This study applies the technology acceptance model that incorporates aesthetic experience and output quality to predict player acceptance of HCGs. The proposed model was assessed with data collected from 124 participants using structural equation modelling. Results show that perceived aesthetic experience is the strongest predictor of HCGs adoption. Perceived usefulness has a significant impact on individuals’ attitudes towards HCGs. Perceived ease of use influences attitude as well as intention to play indirectly. Perceived output quality is a salient predictor of perceived usefulness. Both theoretical and practical implications are discussed.