Stop Scrolling, Start Living: The Growing Reality of Internet Addiction Disorder

Internet addiction disorder detection of Chinese college students using several personality questionnaire data and support vector machine

With the unprecedented development of the Internet, it also brings the challenge of Internet Addiction (IA), which is hard to diagnose and cure according to the state-of-art research. In this study, we explored the feasibility of machine learning methods to detect IA. We acquired a dataset consisting of 2397 Chinese college students from the University (Age: 19.17 ± 0.70, Male: 64.17%) who completed Brief Self Control Scale (BSCS), the 11th version of Barratt Impulsiveness Scale (BIS-11), Chinese Big Five Personality Inventory (CBF-PI) and Chen Internet Addiction Scale (CIAS), where CBF-PI includes five sub-features (Openness, Extraversion, Conscientiousness, Agreeableness, and Neuroticism) and BSCS includes three sub-features (Attention, Motor and Non-planning). We applied Student's t-test on the dataset for feature selection and Support Vector Machines (SVMs) including C-SVM and ν-SVM with grid search for the classification and parameters optimization. This work illustrates that SVM is a reliable method for the assessment of IA and questionnaire data analysis. The best detection performance of IA is 96.32% which was obtained by C-SVM in the 6-feature dataset without normalization. Finally, the BIS-11, BSCS, Motor, Neuroticism, Non-planning, and Conscientiousness are shown to be promising features for the detection of IA.

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Combining grid search and SVM has improved the detection performance of Internet Addiction Disorder (IAD).

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6 sub-scales of personality are found to be better features for the detection of IAD.

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The best detection accuracy is 96.32% from C-SVM with 6 selected features.

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Multiple feature investigation for IAD detection.

Adição à internet ou uso problemático da internet? Qual dos termos usar?

Resumo O uso da internet tem aumentado exponencialmente a nível mundial. Ainda que ele não seja por si só negativo, já que integra benefícios vários, alguns indivíduos parecem exibir problemas relacionados com o seu uso excessivo, descontrolado e disfuncional. Consequentemente, tem sido crescente, particularmente nas últimas duas décadas, o interesse dos investigadores em explorar este uso, quando excessivo e pouco saudável. Porém, e sendo um tema/constructo tratado por diferentes autores com quadros teóricos também diferentes, são vários os termos usados na literatura para descrever este fenómeno. Neste sentido, este artigo propõe-se a apresentar o trabalho uma revisão de literatura de dois dos conceitos mais usados e espartilhados na literatura científica, ou seja, adição à internet e uso problemático da internet.