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Measuring Engagement of Spectators of Social Digital Games
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Mobile Game Evaluation Method Based on Data Mining of Affective Time Series.

Jeremi K Ochab1, Paweł Węgrzyn2, Przemek Witaszczyk2

  • 1Institute of Theoretical Physics, Mark Kac Complex Systems Research Centre, Jagiellonian University, 30-348 Kraków, Poland.

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Summary

We identified player emotional responses using multimodal body sensors to evaluate video game quality. Players who could distinguish between more profitable and less profitable games showed distinct emotional patterns, validating this affective gaming approach.

Keywords:
affective computinggame data miningmobile video games

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Area of Science:

  • Game Data Science
  • Affective Gaming
  • Multimodal Sensor Analysis

Background:

  • Understanding factors differentiating highly profitable (MP) from less profitable (LP) video games is crucial for developers.
  • A common hypothesis suggests MP games elicit more positive player emotions, leading to sustained engagement.

Purpose of the Study:

  • To introduce an original method for evaluating video game quality based on players' emotional reactions.
  • To validate the hypothesis that players capable of distinguishing MP from LP games provide reliable emotional feedback.

Main Methods:

  • Utilizing multimodal body sensors to analyze players' emotional responses during gameplay.
  • Selecting test players based on their ability to differentiate between MP and LP games in short sessions.
  • Analyzing the affective spectra of selected players to compare emotional responses to MP and LP games.

Main Results:

  • Selected players exhibited significantly more positive and fewer negative emotions when playing MP games compared to LP games.
  • This emotional differentiation suggests selected players are more attuned to game quality and engagement factors.
  • The findings provide a clear confirmation of the proposed hypothesis regarding player emotional response and game profitability.

Conclusions:

  • The developed method, leveraging affective computing and player emotional data, offers a reliable approach to assessing video game quality.
  • Identifying and analyzing players with high discrimination ability is key to obtaining meaningful emotional feedback for game development.
  • This research supports the link between positive emotional engagement and video game commercial success, validated through objective player data.