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MetaScoreLens: Evaluating User Feedback Across Digital Entertainment Systems

Christian Ellington, Paramahansa Pramanik, Haley K. Robinson

TL;DR

It is indicated that PC titles tend to receive the most favorable user feedback, followed by Xbox and PlayStation, while Nintendo games showed the lowest average ratings, suggesting that the platform on which a game is released may influence how players evaluate their experience.

Abstract

The popularity of electronic games has grown steadily in recent years, attracting a broad audience across age groups. With this growth comes a large volume of related data, prompting efforts like the PlayMyData to compile and share structured datasets for academic use. This study utilizes such a dataset to compare user review ratings across four current-generation gaming systems: Nintendo, Xbox, PlayStation, and PC. Statistical methods, including analysis of variance (ANOVA), were applied to identify differences in average scores among these platforms. The findings indicate that PC titles tend to receive the most favorable user feedback, followed by Xbox and PlayStation, while Nintendo games showed the lowest average ratings. These patterns suggest that the platform on which a game is released may influence how players evaluate their experience. Such results may be valuable to developers and industry stakeholders in making informed decisions about future investments and development priorities.

MetaScoreLens: Evaluating User Feedback Across Digital Entertainment Systems

TL;DR

It is indicated that PC titles tend to receive the most favorable user feedback, followed by Xbox and PlayStation, while Nintendo games showed the lowest average ratings, suggesting that the platform on which a game is released may influence how players evaluate their experience.

Abstract

The popularity of electronic games has grown steadily in recent years, attracting a broad audience across age groups. With this growth comes a large volume of related data, prompting efforts like the PlayMyData to compile and share structured datasets for academic use. This study utilizes such a dataset to compare user review ratings across four current-generation gaming systems: Nintendo, Xbox, PlayStation, and PC. Statistical methods, including analysis of variance (ANOVA), were applied to identify differences in average scores among these platforms. The findings indicate that PC titles tend to receive the most favorable user feedback, followed by Xbox and PlayStation, while Nintendo games showed the lowest average ratings. These patterns suggest that the platform on which a game is released may influence how players evaluate their experience. Such results may be valuable to developers and industry stakeholders in making informed decisions about future investments and development priorities.
Paper Structure (12 sections, 4 equations, 13 figures, 7 tables)

This paper contains 12 sections, 4 equations, 13 figures, 7 tables.

Table of Contents

  1. Introduction.
  2. Background Literature.
  3. Methodology.
  4. Assumptions.
  5. Tests Applied.
  6. Deep Learning Approach.
  7. Real Data Analysis.
  8. Results.
  9. Effect Size Computation.
  10. Post Hoc Analyses.
  11. Copula Analysis.
  12. Discussions.

Figures (13)

  • Figure 1: Interconnected roles of video game reviews, player responses, platform dynamics, and the analytical strengths of the PlayMyData resource in supporting research across the digital gaming landscape.
  • Figure 3: Q-Q plots for each gaming platform showing significant deviation from normality.
  • Figure 4: Random Forest model predicting review scores across game platforms.
  • Figure 5: Dendrogram showing hierarchical clustering of 300 video games based on review score, platform, genre, and gameplay durations.
  • Figure 6: Box‐plot summary of review‐score distributions for the four gaming platforms.
  • ...and 8 more figures