DYNAMIC MODEL OF MOOD CHANGES ON VIDEO GAMES PLAYER

Playing video games is one of the activities that can improve mood or reduce mood. The media can be investigated further to be able to describe how a video game affects a game player when playing it. The spring model is one of the second-order differential equation models that can explain various th...

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Bibliographic Details
Main Author: Laurence, Ravina
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/65034
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:Playing video games is one of the activities that can improve mood or reduce mood. The media can be investigated further to be able to describe how a video game affects a game player when playing it. The spring model is one of the second-order differential equation models that can explain various things or phenomena that occur. The spring model has general parameters, namely the spring constant and the damping constant that can affect the movement of the spring in oscillation. By using the spring model in describing the dynamics of mood changes in video game players, it is hoped that it can explain the factors and how video games affect the perasaan of gamers. By using the results of survey and observation data, used model will be analyzed. The model is divided into 2 types, namely the model which is influenced by external forces, and the model which is not influenced by external forces. There are 3 external forces used, namely constant, linear, and periodic external forces. Each external style describes the external factors of the game that can affect the mood of a gamer while playing the game. From the analytical and numerical results of the simulated model, the model can describe how a video game affects the moods of each individual and can explain the characteristics of each individual. The model used is also said to be fit because the value of the root-mean-squared-error of the model is quite small and the model can be said to be quite good. Through parameter estimation, the optimal parameter values are sought that can affect the model. The analytical model results are better than the numerical results.