PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
October 16, 20250 citations

Conceptual framework for game addiction: A hierarchical quantitative model approach (Preprint)

View Full Paper
NANurwathiqah AliSTSharul TajuddinABArif Bramantoro

Key Points

  • Game mechanics significantly influence player engagement and addiction vulnerability across different types.
  • Analysis of 487 responses indicated that feedback and comparison strategies inversely impacted player types (P < .05).
  • The study utilized chi-square tests and regression analysis to assess relationships between mechanics and player typologies.
  • These findings support the need for technology-based interventions in game design to mitigate addiction risks.

Abstract

BACKGROUND Video gaming has been associated with negative effects such as compulsive behavior, depression, attention deficit hyperactivity disorder, oppositional behavior, and suicidality. While some studies present conflicting findings on the link between gaming and health issues, these problems can contribute to video game addiction. OBJECTIVE Despite considerable research, there is a notable gap in technology-based treatments for game addiction, and a lack of controlled experiments on the impact of different game mechanics on addiction. This study addresses these by exploring the relationship between game mechanics and game addiction. The research aims to find a way to reduce the effect of game addiction on gamers by identifying which mechanics are responsible for the addictive behavior gamers experience when playing video games. Additionally, testing technological factors on whether it has any significant improvement in lowering the effect of game addiction. This research integrates persuasive strategies into game mechanics to mitigate game addiction. The objectives are constructing a conceptual framework to explore the relationship between game mechanics and game addiction and to validate the proposed conceptual framework using a hierarchical quantitative model. METHODS The conceptual framework was evaluated using chi-square tests, multiple linear regression, and factor analysis to assess construct validity, model fit, and the relationships between game mechanics and player typologies. RESULTS A total of 487 valid responses were analyzed. The results showed that feedback mechanics and comparison strategies were inversely related and significantly influenced the achiever, daredevil, and socializer player types (P CONCLUSIONS These findings contribute to theoretical and methodological understanding of game addiction and player typologies. The study introduces a new conceptual framework, hierarchical quantitative model, adapted measurement tools, and validated experimental evidence. Together, these elements advance knowledge of how distinct game mechanics interact with player motivations and addiction vulnerability, offering practical insights for designing more balanced and responsible game systems.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Ali et al. (2025) studied this question.

synapsesocial.com/papers/68f10ecee6a12fd042899a48https://doi.org/10.2196/preprints.85767
Ask AI
Helpful
Bookmark
Share
View Full Paper