Examining the Effectiveness of Gamification in Human Computation. Issue 10 (3rd October 2017)

• Record Type: Journal Article
• Authors: Wang, Xiaohui; Goh, Dion Hoe-Lian; Lim, Ee-Peng; Vu, Adrian Wei Liang; Chua, Alton Yeow Kuan
• Is Part Of: International journal of human-computer interaction. Volume 33:Issue 10(2017)
• Page Start: 813
• Page End: 821
• Publication Date: 2017-10-03
• Subjects: Human-computer interaction -- Periodicals; 004.01905
• DOI: 10.1080/10447318.2017.1287458
• Languages: English
• ISSNs: 1044-7318

Abstract

ABSTRACT: Within the human computation paradigm, gamification is increasingly gaining interest. This is because an enjoyable experience generated by game features can be a powerful approach to attract participants. Although potentially useful, little research has been conducted into understanding the effectiveness of gamification in human computation. In this experimental study, we operationalized effectiveness as perceived engagement and user acceptance and examined it by comparing the performance of a gamified human computation system against a non-gamified version. We also investigate the determinants of acceptance and how their effects differ between these two systems. Analysis of our data found that participants experienced more engagement and showed higher behavioral intentions toward the gamified system. Moreover, perceived output quality and perceived engagement were significant determinants of acceptance of the gamified system. In contrast, determinants for acceptance of the non-gamified system were perceived output quality and perceived usability.