For the aim at exploring differences on personality traits between excessive online game users and non-excessive users in Japan, an online survey was conducted using psychological scales measuring addictive tendencies...For the aim at exploring differences on personality traits between excessive online game users and non-excessive users in Japan, an online survey was conducted using psychological scales measuring addictive tendencies for online gaming, depressive tendencies, aggression, and self-concealment. The results revealed that excessive online game users having addictive tendencies in Japan had lack of self-esteem as one of depressive tendencies, high aggressive tendencies, and low tendency of self-disclosure, in contrast with non-excessive users. Moreover, it was suggested that these users had a confidence in the society based on contributive behaviors in multi-player groups of online gaming.展开更多
This letter proposes a categorization matrix to analyze the playing style of a computer game player for a shooting game genre. Our aim is to use human-centered modeling as a strategy for adaptive games based on entert...This letter proposes a categorization matrix to analyze the playing style of a computer game player for a shooting game genre. Our aim is to use human-centered modeling as a strategy for adaptive games based on entertainment measure to evaluate the playing experience. We utilized a self-organizing map (SOM) to cluster the player's style with the data obtained while playing the game. We further argued that style-based adaptation contributes to higher enjoyment, and this is reflected in our experiment using a supervised multilayered perceptron (MLP) network.展开更多
文摘For the aim at exploring differences on personality traits between excessive online game users and non-excessive users in Japan, an online survey was conducted using psychological scales measuring addictive tendencies for online gaming, depressive tendencies, aggression, and self-concealment. The results revealed that excessive online game users having addictive tendencies in Japan had lack of self-esteem as one of depressive tendencies, high aggressive tendencies, and low tendency of self-disclosure, in contrast with non-excessive users. Moreover, it was suggested that these users had a confidence in the society based on contributive behaviors in multi-player groups of online gaming.
基金supported by the Soongsil University Research Fundthe Information Technology Research Center (ITRC) Support Program of the Ministry of Knowledge Economy (MKE), Korea
文摘This letter proposes a categorization matrix to analyze the playing style of a computer game player for a shooting game genre. Our aim is to use human-centered modeling as a strategy for adaptive games based on entertainment measure to evaluate the playing experience. We utilized a self-organizing map (SOM) to cluster the player's style with the data obtained while playing the game. We further argued that style-based adaptation contributes to higher enjoyment, and this is reflected in our experiment using a supervised multilayered perceptron (MLP) network.