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People tend to know what behavior is expected of them in specific, familiar settings. A script is a person’s knowledge about the sequence of events expected in a specific setting (Schank & Abelson, 1977). Essentially, scripts are a particular kind of schema, one containing default values for the features within an event. In the restaurant example, the script's features include the props (e.g., tables, menu, food, and money), the roles to be played (e.g., customer and waiter),...
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Towards an automated approach for understanding problematic gaming.

Ana Paula Afonso1, Manuel J Fonseca1, Joana Cardoso2,3,4,5

  • 1LASIGE, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal.

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Summary

This study introduces a new technological method to precisely track gamer behavior and emotion regulation, aiding in the diagnosis of Internet Gaming Disorder (IGD). The approach uses automated data collection to offer objective insights for personalized therapeutic interventions.

Keywords:
Internet Gaming Disorderemotional statesgamer behaviortelemetry datavideo games

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Area of Science:

  • Behavioral Science
  • Computational Psychology
  • Digital Health

Background:

  • Internet Gaming Disorder (IGD) is a growing concern with billions of gamers worldwide.
  • Current diagnostic methods rely on self-report, facing accuracy and consistency issues.
  • There's a need for objective tools to identify problematic gaming behaviors and aid in emotion regulation assessment.

Purpose of the Study:

  • To propose and evaluate a novel technological approach for quantifying gaming behavior indicators.
  • To offer precise insights into gamer behavior and emotion regulation.
  • To assist healthcare professionals in diagnosing and managing problematic gaming behaviors.

Main Methods:

  • Automated analysis of behavioral telemetry data from online gaming platforms.
  • Incorporation of automated extraction of gamer emotional states from facial video recordings.
  • Data collection from amateur and professional gamers playing Counter-Strike 2 on PC.

Main Results:

  • Preliminary assessments show the methodology's potential for valuable insights into gaming behavior and emotion regulation.
  • The approach provides objective insights into in-game behavior, identifying patterns difficult to discern through traditional methods.
  • Automated data collection and visualization enhance the understanding of gamer behavior.

Conclusions:

  • The developed tool offers valuable insights into telemetry data, emotion regulation metrics, and gaming patterns for diagnosing IGD.
  • This technology can support healthcare professionals in tracking therapeutic progress and addressing limitations of conventional assessment methods.
  • Future research will focus on refining the methodology for clinical settings and developing tailored interventions for at-risk individuals.