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 interaction-based 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.

Kongkarn Vachirapanang, Sakoontip Tuisima, Sukree Sinthupinyo and Puntip Sirivunnabood, “The Classification of the Real-Time Interaction-Based Behavior of Online Game Addiction in Children and Early Adolescents in Thailand” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 1(7), 2012. http://dx.doi.org/10.14569/IJARAI.2012.010702

@article{Vachirapanang2012,
title = {The Classification of the Real-Time Interaction-Based Behavior of Online Game Addiction in Children and Early Adolescents in Thailand},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2012.010702},
url = {http://dx.doi.org/10.14569/IJARAI.2012.010702},
year = {2012},
publisher = {The Science and Information Organization},
volume = {1},
number = {7},
author = {Kongkarn Vachirapanang and Sakoontip Tuisima and Sukree Sinthupinyo and Puntip Sirivunnabood}
}