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
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article

Statistical Analysis of User Experience Factors in Computer Operating Systems An SPSS-Based Pilot Study

REST Journal on Data Analytics and Artificial Intelligence
Online Learning and Analytics
article

Statistical Analysis of User Experience Factors in Computer Operating Systems An SPSS-Based Pilot Study

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Abstract

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.

REST Journal on Data Analytics and Artificial IntelligenceVol. 4(3 September 2025)
Openalex Percentile: Top 71%
Online Learning and Analytics
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