The Classification of the Real-Time Interaction-Based Behavior of Online Game Addiction in Children and Early Adolescents in Thailand

Abstract

Abstract-This paper aims to study actual behaviors of Thai children and early adolescents with different levels of game addiction while playing online games from an angle of the interaction between a user and computer. Real-time interactionbased behavior data from a program agent installed in personal computers in 20 sample houses were screened along with consent given by children and their parents. Collection of data about game-playing periods, frequency, game-playing times, text-based chatting, mouse click and keyboard typing during the game was carried out over two months and four case study in-depth interviews for addicted players and their parents. The results revealed a novel method to classify online game addiction level of children and early adolescents by mouse click and keyboard typing data and also found relationship between the playing data recorded and game addiction risk conditions and risk behaviors as explained in the article.

Game Outlier Behavior Detection System Based on Dynamic Time Warp Algorithm

“…In the game industry, affective computing based on a multi-modal interface is the initial stage of adaptation. Various studies on gaming have been introduced in the areas of emotion diagnosis in video game players [18,19], game addiction [20], stress detection [21], player experience in a firstperson shooting game [22], facial expression recognition during a racing game [23], Microsoft's Kinect-based feedback system [24,25], and a commercial telemetry feedback system [26]. In a recent study, Martinez used a deep learning algorithm to recognize four types of emotions within a game [27].…”

A Model for an Aggression Discovery Through Person Online Behavior

“… Actual issues influenced by aggressive behavior of persons,  Announced in the end of 2014 and actual call of Defense Advanced Research Projects Agency in the field of Detection and computational analysis of psychological signals [16],  Recent works in the field of classification and interpretation of a behavior in virtual environments [11,12,13,14,15],  Existence of theoretical [17] and practical [18] techniques for implementation of behavioral change. This fact permits to consider a possibility to influence aggressive persons online that can be discovered using the model proposed in the given paper.…”