• Journal of Korea Society of Industrial Information Systems
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• v.16 no.3
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• pp.35-45
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• 2011

Due to people's internet use growth and proliferation of ubiquitous technology, the internet addiction is becoming a social issue. However, the current adults' self-diagnosis measure about internet addiction, the K-scale, is a normal diagnostic method, which it does not consider user characteristics. In this research, we will propose a new internet addiction diagnostic method based on users' non-duty internet activities by using some questionnaire items to collect users' basic internet patterns used on duty related or non-duty related web sites. Since we simply ask for the basic internet usage pattern to each user who does not like to check frankly questionnaire items in the K-scale, the proposed method can find some hidden internet addicts compared to the K-scale with the SPSS statistical analysis tool.

• The Journal of Korean Association of Computer Education
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• v.15 no.2
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• pp.47-55
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• 2012

We discovered the fact that the most important factor for judging adults' internet addiction in the K-scale method which was developed by Korea National Information Society Agency (NIA), has composed of 4 categories including 20 items, is tolerance and preoccupation factor from the experiments by using data mining techniques. In this research, we propose a new internet addiction diagnostic method based on the degree of tolerance considering users' non-duty internet activities. From some questionnaire participants, their feedbacks for the K-scale and the proposed diagnostic method were collected, and then we confirmed that the proposed user-centered diagnostic method is effective to find undiscovered addicts due to individuals's intention in the K-scale.