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使用基于中国年轻青少年个性特征的潜形象方法对有问题的游戏进行分类
Jingyue Hao1, Zhenjiang Liao1, Qiuping Huang2
1Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China.
BMC psychiatry
|February 6, 2025
概括
这项研究确定了三种游戏玩家概况:高风险,中风险和低风险,揭示了与有问题的互联网游戏相关的性格特征. 低神经症和高良心是防止游戏成的保护因素.
科学领域:
- 心理学 心理学 心理学
- 行为科学 行为科学
背景情况:
- 互联网游戏在中国非常受欢迎.
- 基于个性特征的有问题的游戏亚型存在有限的研究.
研究的目的:
- 通过使用隐性个人资料分析 (LPA) 识别不同的在线游戏玩家群体.
- 在已识别的游戏玩家个人资料中比较关键变量.
主要方法:
- 在5593名互联网游戏玩家中进行的在线调查.
- 使用了人口调查问卷,游戏使用查询,视频游戏依赖量表和中国五大库存简要版本.
- 应用LPA来识别游戏玩家的个人资料,并分析与辅助变量的关联.
主要成果:
- 确定了三个有问题的游戏概况:高风险 (64.78%),中等风险 (3.22%) 和低风险 (32%).
- 高风险玩家花费更多的时间/金钱在游戏中逃避,并表现出高的神经性与低其他五大特征.
- 低风险的游戏玩家在除了神经病症以外的所有特征中得分高,并且在线友较少.
结论:
- 低神经症和高良心是防止游戏成的保护因素.
- 增加对游戏的时间和财务投资与更高的成风险相关.
- 调查结果有助于识别高风险玩家,并制定有针对性的干预措施.
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