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[ALN16] Design Influence on Player Retention : A Method Based on Time Varying Survival Analysis
Conférence Internationale avec comité de lecture : IEEE Computational Intelligence and Games, September 2016, pp.254-261, Santorini, Grece,Mots clés: Game Analytics, Player Modeling, Game Design, Retention, Survival Analysis
Résumé:
This paper proposes a method to help understanding the influence of a game design on player retention. Using Far Cry 4 data, we illustrate how playtime measures can be used to identify time periods where players are more likely to stop playing. First, we show that a benchmark can easily be performed for every game available on Steam using publicly available data. Then, we introduce how survival analysis can help to model the influence of game variables on player retention. Game environment and player characteristics change over time and tracking systems already store those changes. But existing model
which deals with time varying covariate cannot scale on huge datasets produced by video game monitoring. That is why we propose a model that can both deal with time varying covariates and is well suited for big datasets. As a given game variable can have a changing effect over time, we also include time-varying
coefficients in our model. We used this survival analysis model to quantify the effect of Far Cry 4 weapons usage on player retention.
Collaboration:
LSTA
BibTeX
| @inproceedings { | |||
| ALN16, | |||
| title | = | "{Design Influence on Player Retention : A Method Based on Time Varying Survival Analysis}", | |
| author | = | " T. Allart and G. Levieux and S. Natkin and A. Guilloux ", | |
| booktitle | = | "{IEEE Computational Intelligence and Games}", | |
| year | = | 2016, | |
| month | = | "September", | |
| pages | = | "254-261", | |
| address | = | "Santorini, Grece", | |
| } | |||
