Profiling of Pornography Addiction Among Children Using EEG Signals
Full Article Name: Profiling of Pornography Addiction Among Children Using EEG Signals: A Systematic Literature Review
Open Access: No
Nowadays human behavior has been affected with the advent of new digital technologies. Due to the rampant use of the Internet by children, many have been addicted to pornography. This addiction has negatively affected the behaviors of children including increased impulsiveness, learning ability to attention, poor decision-making, memory problems, and deficit in emotion regulation. The children with porn addiction can be identified by parents and medical practitioners as third-party observers. This systematic literature review (SLR) is conducted to increase the understanding of porn addiction using electroencephalogram (EEG) signals. We have searched five different databases namely IEEE, ACM, Science Direct, Springer and National Center for Biotechnology Information (NCBI) using addiction, porn, and EEG as keywords along with ‘OR ‘operation in between the expressions. We have selected 46 studies in this work by screening 815,554 papers from five databases. Our results show that it is possible to identify children with porn addiction using EEG signals.
Kang, X., Handayani, D. O. D., Chong, P. P., & Acharya, U. R. (2020). Profiling of pornography addiction among children using eeg signals: A systematic literature review. Computers in Biology and Medicine, 125, 103970–103970. https://doi.org/10.1016/j.compbiomed.2020.103970