Real-time detection of internet addiction using reinforcement learning system

Hong Ming Ji, Liang Yu Chen, Tzu Chien Hsiao

研究成果: Conference contribution同行評審

3 引文 斯高帕斯(Scopus)

摘要

1Since Internet addiction (IA) was reported in 1996, research on IA assessment has attracted considerable interest. The development of a real-time detector system can help communities, educational institutes, or clinics immediately assess the risk of IA in Internet users. However, current questionnaires were designed to ask Internet users to self-report their Internet experiences for at least 6 months. Physiological measurements were used to assist questionnaires in the short-term assessment of IA, but physiological properties cannot assess IA in real-time due to a lack of algorithms. Therefore, the real-time detection of IA is still a work in progress. In this study, we adopted an extended classifier system with continuous real-coded variables (XCSR), which can solve the non-Markovian problem with continuous real-values to produce optimal policy, and determine high-risk and low-risk IA using Chen Internet addiction scale (CIAS) data or respiratory instantaneous frequency (IF) components of Internet users as input information. The result shows that the classification accuracy of XCSR can reach close to 100%. We also used XCSR to verify the items of CIAS and extract important respiratory indexes to assess IA. We expect that a real-time detector that immediately assesses the risk of IA may be designed in this way.

原文English
主出版物標題GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion
發行者Association for Computing Machinery, Inc
頁面1280-1288
頁數9
ISBN(電子)9781450367486
DOIs
出版狀態Published - 13 七月 2019
事件2019 Genetic and Evolutionary Computation Conference, GECCO 2019 - Prague, Czech Republic
持續時間: 13 七月 201917 七月 2019

出版系列

名字GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion

Conference

Conference2019 Genetic and Evolutionary Computation Conference, GECCO 2019
國家Czech Republic
城市Prague
期間13/07/1917/07/19

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