소비자의 인터넷 게임 이용행동과 셧다운(Shut-down)제에 대한 태도 연구 - 인터넷게임 중독척도 개발을 중심으로-

Abstract

The purpose of this study is making the method development on poisoning of internet game and analysing on using internet game behavior. Analysing on attitude on relation of positive attitude and negative attitude on shut-down policy focused on university students, because university students used internet game recently. For this purpose, questions were adapted from related studies and AMOS factor analyses and t-test were conducted by using a sample of 470 university students data. Main findings can be summarized as the following:First, most university students used the personal PC for internet game by using method, using numbers were 4 times by a week, using times were 1 hour 20 minutes(80 minutes) by a day. University students played at home more than half of using place, using career was about 8 years, and main reason of using internet game was refresh oneself and funny. Second, after developing poisoning method on internet game of university students, it was analysed by exploratory factor analysis. And it named factor I: confusion between reality and imagination, factor II: loss of control, factor III: preference game and absorption, factor IV: aftereffect of mind and body, factor V: disagreement and troubling on human relation. After communality test for all factors, it tested confirmatory factor analysis, and it was produced a modified model as a result. Third, 47.9% of university students agreed on shut-down policy and 52.1% of university students disagreed on shut-down policy. Sex of university students was associated with attitude on agreement and disagreement on shut-down, and grade, monthly pocket money of university students was not associated with attitude on agreement and disagreement on shut-down policy of university students. In using behavior of university students on internet game, using career and using reason on internet game of university students was associated, but poisoning of internet game was not associated with all variables. Results from this study offer that customized support system differentiated by demographical characteristics such as gender, age of university students. Futhermore it should be needed to connecting system university students and adolescent by mentor-mentee relation focused on using internet game.