超越网络成瘾的框架:解读内在动机、无聊和在线警惕的影响

IF 4.3 Q1 PSYCHOLOGY, MULTIDISCIPLINARY Human Behavior and Emerging Technologies Pub Date : 2023-11-21 DOI:10.1155/2023/6653652
Mirko Duradoni, Tommaso Raimondi, Federica Buttà, Andrea Guazzini
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引用次数: 0

摘要

嗜睡会影响个人的社交生活和幸福。它被发现会影响恋爱关系、沟通和社交技巧,以及情绪和行为问题。嗜睡与智能手机成瘾、网络成瘾、社交媒体成瘾、FoMO 和神经质等的一些关系在文献中已广为人知并得到证实。然而,嗜睡并不能完全归结为成瘾或人格驱动的动力。因此,本研究旨在探索网络成瘾行为背后的动机。首先,本研究旨在确认幽会与技术相关成瘾(如社交媒体成瘾和手机成瘾)和人格特质(如神经质和自觉性)之间的关系。此外,本研究还旨在探讨泡网与三个潜在的个人层面因素(内在动机、无聊状态和在线警惕性)之间的关系,从而建立泡网模型。共有 551 名参与者参加了研究(平均年龄 = 32 岁;SD = 14.15)。在确认了幻觉与上述变量之间的关系后,为了尽可能全面地模拟幻觉现象,我们建立了一个分层回归模型。最终的模型解释了约 72% 的噬咬变异。被解释方差的主要贡献者是与新技术的依赖性使用、在线警惕性、无聊感和使用新技术的内在动机相关的变量。社会人口因素和个性特征所占的变异比例较小(分别为 3.4% 和 9.1%)。这些研究结果表明,驱动幽禁行为的个人层面因素与内在动机、在线警惕性和无聊有关,而不是社会人口因素或人格特质。本研究鼓励进一步开展研究,探索和扩展导致幽禁行为的各种动机,同时考虑与功能障碍或成瘾性技术使用有关的因素。
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Moving beyond an Addiction Framework for Phubbing: Unraveling the Influence of Intrinsic Motivation, Boredom, and Online Vigilance
Phubbing affects an individual’s social life and well-being. It has been found to affect romantic relationships, communication and social skills, and emotional and behavioral problems. Some relationships that phubbing has with, for example, smartphone addiction, Internet addiction, social media addiction, FoMO, and neuroticism are well known and established in the literature. However, phubbing is not exclusively reducible to addiction or personality-driven dynamics. For this reason, this study is aimed at exploring the motivations behind phubbing behavior. Firstly, the research is aimed at confirming the relationships between phubbing and technology-related addictions (e.g., social media addiction and mobile phone addiction) and personality traits (e.g., neuroticism and conscientiousness). In addition, the study is aimed at examining the relationship between phubbing and three potential individual-level factors for possible phubbing modeling: intrinsic motivation, boredom state, and online vigilance. A total of 551 participants took part in the study (mean age = 32 years; SD = 14.15 ). After confirming the relationships that phubbing has with the abovementioned variables, a hierarchical regression model was produced in order to model the phubbing phenomenon as comprehensively as possible. The final model explained approximately 72% of the variance in phubbing. The primary contributors to the explained variance were variables related to the dependent use of new technologies, dimensions of online vigilance, boredom, and intrinsic motivation for using new technologies. Sociodemographic factors and personality traits accounted for a smaller portion of the variance (3.4% and 9.1%, respectively). These findings suggest that the individual-level factors driving phubbing behavior are related to intrinsic motivation, online vigilance, and boredom, rather than sociodemographic factors or personality traits. The study encourages further research to explore and expand upon the range of motivations underlying phubbing behavior, while considering factors related to dysfunctional or addictive technology use.
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来源期刊
Human Behavior and Emerging Technologies
Human Behavior and Emerging Technologies Social Sciences-Social Sciences (all)
CiteScore
17.20
自引率
8.70%
发文量
73
期刊介绍: Human Behavior and Emerging Technologies is an interdisciplinary journal dedicated to publishing high-impact research that enhances understanding of the complex interactions between diverse human behavior and emerging digital technologies.
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