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Heart rate variability of internet gaming disorder addicts in emotional states

机译:处于情绪状态的网络游戏障碍成瘾者的心率变异性

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Internet gaming disorder (IGD) was regarded as behavioral addiction, and the common characteristics of internet addiction (IA) or IGD were craving, tolerance, withdrawal, mood modification, and salience. The fifth version of Diagnostic and Statistical Manual of Mental Disorders, addressed IGD, and also proposed 9 research criteria for IGD in 2013. Emotion was reported one character of IGD, and this study hypothesized that emotion was both a response and an influential factor on IGD. The self-report for emotion and questionnaires (psychological character), and electrocardiography (ECG) (physiological signal) of participants in emotional state were collected and analyzed in a non-invasive manner. An emotional induction experiment using online game film clips was conducted. Nineteen participants were grouped into IGD& high-risk internet addiction group, and 21 were in non-IGD & low-risk internet addiction group. The physiological signal (ECG) was used to study emotional responses of IGD. The sympathetic and parasympathetic activities were obtained from heart rate variability (HRV). The IGD addicts exhibited more positive emotion, and stronger sympathetic activity, but felt weaker physiological activity for online game than non-IGD addicts. Emotion can provide a short-term, quick response and dynamic changes of psychological and physiological information of IGD addicts, and that allowed researcher to develop further application, such as monitoring system, early alarm system, early IGD detection, and even prevention.
机译:互联网游戏障碍(IGD)被认为是行为成瘾,互联网成瘾(IA)或IGD的共同特征是渴望,宽容,戒断,情绪改变和显着性。 《精神障碍诊断和统计手册》的第五版针对IGD,并在2013年提出了9种IGD研究标准。据报道,情绪是IGD的一个特征,该研究假设情绪既是IGD的反应又是影响因素。 。以无创方式收集和分析情绪状态参与者的情绪自我报告和问卷(心理特征)以及心电图(ECG)(生理信号)。进行了使用在线游戏电影剪辑的情绪诱导实验。 19名参与者被分为IGD和高风险网络成瘾组,而21名参与者属于非IGD和低风险的网络成瘾组。生理信号(ECG)用于研究IGD的情绪反应。交感神经活动和副交感神经活动是从心率变异性(HRV)获得的。与非IGD上瘾者相比,IGD上瘾者表现出更多的积极情绪和更强的同情活动,但他们感到网络游戏的生理活动较弱。情绪可以为IGD上瘾者提供短期,快速的反应,并动态改变其心理和生理信息,从而使研究人员能够进一步开发应用程序,例如监视系统,早期警报系统,早期IGD检测甚至预防。

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