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Detection of Craving for Gaming in Adolescents with Internet Gaming Disorder Using Multimodal Biosignals

The increase in the number of adolescents with internet gaming disorder (IGD), a type of behavioral addiction is becoming an issue of public concern. Teaching adolescents to suppress their craving for gaming in daily life situations is one of the core strategies for treating IGD. Recent studies have...

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Autores principales: Kim, Hodam, Ha, Jihyeon, Chang, Won-Du, Park, Wanjoo, Kim, Laehyun, Im, Chang-Hwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795403/
https://www.ncbi.nlm.nih.gov/pubmed/29301261
http://dx.doi.org/10.3390/s18010102
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author Kim, Hodam
Ha, Jihyeon
Chang, Won-Du
Park, Wanjoo
Kim, Laehyun
Im, Chang-Hwan
author_facet Kim, Hodam
Ha, Jihyeon
Chang, Won-Du
Park, Wanjoo
Kim, Laehyun
Im, Chang-Hwan
author_sort Kim, Hodam
collection PubMed
description The increase in the number of adolescents with internet gaming disorder (IGD), a type of behavioral addiction is becoming an issue of public concern. Teaching adolescents to suppress their craving for gaming in daily life situations is one of the core strategies for treating IGD. Recent studies have demonstrated that computer-aided treatment methods, such as neurofeedback therapy, are effective in relieving the symptoms of a variety of addictions. When a computer-aided treatment strategy is applied to the treatment of IGD, detecting whether an individual is currently experiencing a craving for gaming is important. We aroused a craving for gaming in 57 adolescents with mild to severe IGD using numerous short video clips showing gameplay videos of three addictive games. At the same time, a variety of biosignals were recorded including photoplethysmogram, galvanic skin response, and electrooculogram measurements. After observing the changes in these biosignals during the craving state, we classified each individual participant’s craving/non-craving states using a support vector machine. When video clips edited to arouse a craving for gaming were played, significant decreases in the standard deviation of the heart rate, the number of eye blinks, and saccadic eye movements were observed, along with a significant increase in the mean respiratory rate. Based on these results, we were able to classify whether an individual participant felt a craving for gaming with an average accuracy of 87.04%. This is the first study that has attempted to detect a craving for gaming in an individual with IGD using multimodal biosignal measurements. Moreover, this is the first that showed that an electrooculogram could provide useful biosignal markers for detecting a craving for gaming.
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spelling pubmed-57954032018-02-13 Detection of Craving for Gaming in Adolescents with Internet Gaming Disorder Using Multimodal Biosignals Kim, Hodam Ha, Jihyeon Chang, Won-Du Park, Wanjoo Kim, Laehyun Im, Chang-Hwan Sensors (Basel) Article The increase in the number of adolescents with internet gaming disorder (IGD), a type of behavioral addiction is becoming an issue of public concern. Teaching adolescents to suppress their craving for gaming in daily life situations is one of the core strategies for treating IGD. Recent studies have demonstrated that computer-aided treatment methods, such as neurofeedback therapy, are effective in relieving the symptoms of a variety of addictions. When a computer-aided treatment strategy is applied to the treatment of IGD, detecting whether an individual is currently experiencing a craving for gaming is important. We aroused a craving for gaming in 57 adolescents with mild to severe IGD using numerous short video clips showing gameplay videos of three addictive games. At the same time, a variety of biosignals were recorded including photoplethysmogram, galvanic skin response, and electrooculogram measurements. After observing the changes in these biosignals during the craving state, we classified each individual participant’s craving/non-craving states using a support vector machine. When video clips edited to arouse a craving for gaming were played, significant decreases in the standard deviation of the heart rate, the number of eye blinks, and saccadic eye movements were observed, along with a significant increase in the mean respiratory rate. Based on these results, we were able to classify whether an individual participant felt a craving for gaming with an average accuracy of 87.04%. This is the first study that has attempted to detect a craving for gaming in an individual with IGD using multimodal biosignal measurements. Moreover, this is the first that showed that an electrooculogram could provide useful biosignal markers for detecting a craving for gaming. MDPI 2018-01-01 /pmc/articles/PMC5795403/ /pubmed/29301261 http://dx.doi.org/10.3390/s18010102 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kim, Hodam
Ha, Jihyeon
Chang, Won-Du
Park, Wanjoo
Kim, Laehyun
Im, Chang-Hwan
Detection of Craving for Gaming in Adolescents with Internet Gaming Disorder Using Multimodal Biosignals
title Detection of Craving for Gaming in Adolescents with Internet Gaming Disorder Using Multimodal Biosignals
title_full Detection of Craving for Gaming in Adolescents with Internet Gaming Disorder Using Multimodal Biosignals
title_fullStr Detection of Craving for Gaming in Adolescents with Internet Gaming Disorder Using Multimodal Biosignals
title_full_unstemmed Detection of Craving for Gaming in Adolescents with Internet Gaming Disorder Using Multimodal Biosignals
title_short Detection of Craving for Gaming in Adolescents with Internet Gaming Disorder Using Multimodal Biosignals
title_sort detection of craving for gaming in adolescents with internet gaming disorder using multimodal biosignals
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795403/
https://www.ncbi.nlm.nih.gov/pubmed/29301261
http://dx.doi.org/10.3390/s18010102
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