Digital Game Visual Style Classification: Influence of Information Quality Components on the User Satisfaction During Game Searching Activity in the Digital Game Library

Abstract

The digital gaming community appreciates the visual style classification system to search for game information. However, scholars discovered that the system’s inaccurate search results often dissatisfied users. So far, no studies have accurately measured user satisfaction during game searching in the existing game library. Therefore, this study was performed to investigate the influence of information quality components (Accuracy, Content, Ease of Use, Format, and Timeliness) on the User Satisfaction during game searching activity. A cross-sectional study was conducted involving Malaysian game players using a 12-item survey questionnaire based on the End-user Computing Satisfaction (EUCS) model to measure user satisfaction and information quality components. Descriptive statistics, preliminary data analysis, and Confirmatory Factor Analysis (CFA) were used to analyse the results. Out of 239 respondents, 79.1% between 19 and 24 years old have experience exploring digital games based on visual style. This research revealed that Content, Accuracy, and Ease of Use influenced User Satisfaction when searching for games based on the visual style. In contrast, the Format and Timeliness correlated weakly. Providing visual classification and appeal format has less impact on user satisfaction, while fast information retrieval and up-to-date information contributed insignificantly to user satisfaction. Future research should analyse the effectiveness of visual style information systems for digital game distribution platforms in Malaysia.