Understanding the determinants of human computation game acceptance: the effects of aesthetic experience and output quality. Issue 4 (8th August 2016)

• Record Type: Journal Article
• Authors: Wang, Xiaohui; Goh, Dion Hoe-Lian; Lim, Ee-Peng; Vu, Adrian Wei Liang
• Editors: Gorman, G E
• Is Part Of: Online information review. Volume 40:Issue 4(2016)
• Publication Date: 2016-08-08
• Subjects: 025.04
• DOI: 10.1108/OIR-06-2015-0203
• Languages: English
• ISSNs: 1468-4527

Abstract

Abstract : Purpose: Human Computation Games (HCGs) that blend gaming with utilitarian purposes are a potentially effective channel for content creation. This paper investigates the driving factors behind players' adoption of HCGs through a music video tagging game. The effects of perceived aesthetic experience and perceived output quality on HCG acceptance are empirically examined. Design/methodology/approach: An integrative structural model is developed to explain how hedonic and utilitarian factors, including perceived aesthetic experience and perceived output quality, working with another salient factor - perceived usefulness - affect the acceptance of HCGs. The structural equation modeling method is used to verify the proposed model with data from 124 participants. Findings: Results show that perceived aesthetic experience is the strongest predictor of HCGs adoption. Perceived usefulness has a significant impact on individuals' attitude towards HCGs. Perceived output quality is a salient predictor of perceived usefulness and perceived aesthetic experience, and its indirect effect on attitude is significance. Originality/value: From an academic point of view, this study provides a good understanding of the driving factors behind player acceptance of HCGs and adds new knowledge to games with utilitarian purposes. It is also one of the first to describe the components of game enjoyment with a taxonomy of aesthetic experiences. From the practical perspective, the investigation of the specific factors behind adoption of HCGs provides specific guidelines for their design and evaluation.