Statistical Analysis of User Experience Factors in Computer Operating Systems An SPSS-Based Pilot Study
This study investigates the factors that influence user experience in computer operating systems through comprehensive statistical analysis using given the critical role of operating systems in modern computing, the research aims to evaluate their performance from a user-centered viewpoint. A pilot study (N = 6) was conducted to measure five key parameters: ease of use, accessibility, user satisfaction, cost-effectiveness, and system reliability. The measurement tool demonstrated reliable internal consistency (Cronbach’s α = .746). User satisfaction and system reliability scored highest (Mean = 4.00), followed by ease of use (3.83), cost-effectiveness (3.50), and accessibility (3.17). A strong positive correlation was found between ease of use and user satisfaction (r = .956**), and ease of use also significantly correlated with system reliability (r = .765).On the other hand, cost-effectiveness displayed weak or negative correlations with the other factors, suggesting it is a distinct dimension in users’ perceptions. Further reliability analysis showed that removing the cost-effectiveness item raised Cronbach's alpha to .913, indicating its inconsistency with other factors. These findings underscore the interconnected nature of usability factors in operating systems while highlighting cost-effectiveness and accessibility as areas for improvement.
Publication Details
- Journal
- REST Journal on Data Analytics and Artificial Intelligence
- Published
- 2025-09-22
- DOI
- https://doi.org/10.46632/jdaai/4/3/15
- Primary Topic
- Online Learning and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 0.00