Kim, Hodam Ha, Jihyeon Chang, Won-Du Park, Wanjoo Kim, Laehyun Im, Chang-Hwan 2024-01-19T23:34:37Z 2024-01-19T23:34:37Z 2021-09-03 2018-01 1424-8220 https://pubs.kist.re.kr/handle/201004/121888 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. English MDPI DRUG CUES REACTIVITY ADDICTION RESPONSES PICTURES SMOKERS SYSTEM Detection of Craving for Gaming in Adolescents with Internet Gaming Disorder Using Multimodal Biosignals Article 10.3390/s18010102 1 SENSORS, v.18, no.1 SENSORS 18 1 scie scopus 000423286300101 2-s2.0-85039950115 Chemistry, Analytical Engineering, Electrical & Electronic Instruments & Instrumentation Chemistry Engineering Instruments & Instrumentation Article DRUG CUES REACTIVITY ADDICTION RESPONSES PICTURES SMOKERS SYSTEM internet gaming disorder internet game addiction biosignal analysis craving machine learning