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Machine Learning-Based Prediction Model for the Measurement of Mobile Addiction
Abstract
Mobile phones are now one of the most important elements of our lives. We know that they are helpful and enable us to perform different services for our requirements online. But there are limits to everything. It is excessive that we cannot even eat or go to sleep without our mobile phones. According to some statistics, a person uses their mobile phone on average 3 hours and 15 minutes a day. The part of the population that is affected most by this problem is teenagers. Most of them suffer from “nomophobia,” which is defined as “the fear of not having a mobile phone.” Teenagers are the most impacted by mobile addiction because they cannot manage their screen time and they still have not developed the ability to self-control. According to some research, it is ascertained that 27% of the population who own a mobile phone are people around 11-13 years old that don't turn off their phone, not even to sleep.
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