JGGAG (Journal of Games, Game Art, and Gamification)
Vol. 4 No. 2 (2019): Special Issue: International Conference of Games, Game Art and Gamification (IC

Predicting the Effect of Violent Gameplaying to Violent Behavior Intention among Females using Tree Regression and AdaBoost Tree Regression

Maniah Maniah (Bina Nusantara University)
Yaya Heryadi (Unknown)
Agung Trisetyarso (Unknown)
Bachtiar Saleh Abbas (Unknown)
Wayan Suparta (Unknown)
Ford Lumban Gaol (Unknown)

Article Info

Publish Date
31 Dec 2019

Abstract

The issue on the effect of violent video game to aggressive behavior has gained wide interest from various communities. This paper presents some results of predicting quantitative measure of aggressive behavior from variables that measure violent video game playing. Experiment results showed that Decision Tree Regression (DTR) and Adaptive Boosting Tree Regression (AB-DTR) models predicted aggressive behavior intentions with high accuracy. For predicting Hostile variable: DTR’s training and testing RMSE (0.0, 0.0); AB-DTR’s training and testing RMSE (0.08, 1.08). For predicting Instru variable: DTR’s training and testing RMSE (0.0, 2.18); AB-DTR’s training and testing RMSE (0.0, 3.30) respectively.

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Journal Info
JGGAG (Journal of Games, Game Art, and Gamification)
Website

Abbrev

jggag

Publisher

Universitas Bina Nusantara

Subject

Arts Computer Science & IT Other

Description

The Journal of Games, Game Art, and Gamification (JGGAG) is a double-blind peer-reviewed interdisciplinary journal that publishes original papers on all branches of academic areas and communities. Thematic areas include, but are not limited to: Games AI applications for serious games, Alternate ...