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Social computing for internet addiction disorder analysis from a psychological perspective

机译:从心理学角度对社交成瘾症进行社会计算分析

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This study adopts needs theory and affective ambivalence to explore how people obtain psychological satisfaction through internet usage, and to explore how such usage behaviour can lead to the development of a sense of dependence. Few previous studies have incorporated these four perspectives. Data mining techniques are used to identify association rules between needs theory, affective ambivalence, internet use behaviour and internet addiction. This study distributed paper-based and electronic questionnaires, receiving a total of 502 valid responses for a valid response rate of about 88%. From the affective ambivalence perspective, we found that emotional state varies with behaviour and age, leading to different patterns of personal expression and creativity. In addition, empirical results show our findings are consistent with Maslow's hierarchy of needs in that people only seek to address their higher-order needs once their lower-order needs are satisfied. Thus, once internet users have satisfied their needs for security, their attention then turns to demands for social interaction and self-esteem.
机译:本研究采用需求理论和情感矛盾情绪,探讨人们如何通过互联网使用来获得心理满足,并探讨这种使用行为如何导致依赖感的发展。很少有先前的研究结合了这四个观点。数据挖掘技术用于识别需求理论,情感矛盾,互联网使用行为和网络成瘾之间的关联规则。这项研究分发了纸质和电子问卷,共收到502份有效回复,有效回复率约为88%。从情感矛盾的角度,我们发现情绪状态随行为和年龄的变化而变化,导致个人表达和创造力的模式不同。此外,实证结果表明,我们的发现与马斯洛的需求层次结构一致,因为人们仅在满足低阶需求后才寻求解决其高阶需求。因此,一旦互联网用户满足了他们对安全性的需求,他们的注意力便转向社交互动和自尊的需求。

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