利用数据挖掘技术探索网络成瘾行为模式

Mu-Jung Huang, Chin-Chun Cheng, Mu-Yen Chen
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引用次数: 1

摘要

本研究旨在从情绪的角度探讨网络使用者的心理满意度和情绪反应,并探讨网络使用行为是否会导致网络成瘾。从以往的文献和研究中,我们发现大多数研究都是通过检验假设来探讨这个话题的。本研究运用数据挖掘方法,找出情感矛盾心理、网络使用行为和网络成瘾之间的关联规律。本研究发放了在线问卷和纸质问卷。在BBS、Facebook和各大论坛上进行在线问卷调查;采用方便抽样的方式发放纸质问卷。共回收问卷565份。其中有效问卷502份,有效回复率约88%。从情感矛盾心理分析发现,不同的使用行为会导致不同的情感状态。不同的个体也会表现出不同的行为和创造力。
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Using data mining technology to explore Internet addiction behavioral patterns
The purposes of this study were to explore psychological satisfaction and emotional reaction of Internet users through emotional perspectives and to discuss whether Internet use behaviors would lead to addiction to the Internet. From previous literature and studies, it was found that most studies explored this topic by testing hypotheses. The study used data mining to identify association rules among affective ambivalence, Internet use behavior and Internet addiction. Online and paper questionnaires were distributed for this study. Online questionnaires were put on BBS, Facebook and major forums; paper questionnaires were distributed via convenience sampling. A total of 565 questionnaires were recovered. Among these, 502 copies of the questionnaires were valid, making the effective response rate about 88%. It was found from the affective ambivalence that different use behaviors would result in different affective states. Different individuals would also show different behavior and creativity.
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