Abstract
In 2016, the number of mobile phone subscriptions worldwide had surpassed the total world population; moreover, the number of smartphone addicts is increasing each year. Thus, the objective of this study is to analyze smartphone addiction by considering the differences between smartphone usage patterns as well as cognition. Our proposed method involves automatically collecting and analyzing data through an app instead of using the existing self-reporting method, thereby improving the accuracy of data and ensuring data reliability from respondents. Based on the results of our study, we observed that there is a significant cognitive bias between the self-reports and automatically collected data. As a result of applying data mining, among the six criteria out of the total 24 items of the questionnaire, the higher the “recurrence” item, the higher the addiction; further, “forbidden” item 1 had the largest effect on addiction. In addition, the input variables that have the greatest influence on the high-risk users were the number of times the screen was turned on and real-use time/cognitive-use time. However, the amount of data and time of smartphone usage were not related to addiction. In the future, we will modify the app to obtain more accurate data, based on which, we can analyze the effects of smartphone addiction, such as depression, anxiety, stress, self-esteem, and emotional regulation, among others.
Highlights
According to the Korean Statistical Information Service [1], in 2016, the number of mobile phone subscriptions worldwide had surpassed the world’s population by reaching 7.5 billion subscriptions; the number of mobile subscribers in Korea alone had exceeded 60 million
Owing to the increase in the use of smartphones, the issue of smartphone addiction has become a serious social problem; for example, the emergence of “Smombies” (Smombie is a compound word including smart phone and zombie; it refers to individuals who walk on the road, while looking at their smartphone; because they are immersed in their smart phones, and are not aware of the surrounding environment, and such walking leads to a high risk of accidents.) has taken place
The data provided by the Korea National Statistical Office (KNSO) and various other studies are primarily based on old research methods such as questionnaires and interviews; these methods lead to inferior analysis results, because they are based on analyses and evaluation of the self-reported data, which can be intentionally manipulated
Summary
According to the Korean Statistical Information Service [1], in 2016, the number of mobile phone subscriptions worldwide had surpassed the world’s population by reaching 7.5 billion subscriptions; the number of mobile subscribers in Korea alone had exceeded 60 million. Based on this survey, the risks of smartphone addiction are increasing every year. In recently years, studies using data collected via apps were conducted to analyze patterns of smartphone addiction; this method has several restrictions based on the software development kit (SDK) used to develop the app in terms of the analysis of the usage pattern of the The data provided by the Korea National Statistical Office (KNSO) and various other studies are primarily based on old research methods such as questionnaires and interviews; these methods lead to inferior analysis results, because they are based on analyses and evaluation of the self-reported data, which can be intentionally manipulated.
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