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Predictors of Acceptance and Rejection of Online Peer Support Groups as a Digital Wellbeing Tool

机译:在线对等支持组的接受和拒绝作为数字井绕工具的预测

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Digital media usage can be problematic; exhibiting symptoms of behavioural addiction such as mood modification, tolerance, conflict, salience, withdrawal symptoms and relapse. Google Digital Wellbeing and Apple Screen Time are examples of an emerging family of tools to help people have a healthier and more conscious relationship with technology. Peer support groups is a known technique for behaviour change and relapse prevention. It can be facilitated online, especially with advanced social networking techniques. Elements of peer support groups are being already embedded in digital wellbeing tools, e.g. peer comparisons, peer commitments, collective usage limit-setting and family time. However, there is a lack of research about the factors influencing people acceptance and rejection of online peer support groups to enhance digital wellbeing. Previous work has qualitatively explored the acceptance and rejection factors to join and participate in such groups. In this paper, we quantitatively study the relationship between culture, personality, self-control, gender, willingness to join the groups and perception of their usefulness, on such acceptance and rejection factors. The qualitative phase included two focus groups and 16 interviews while the quantitative phase consisted of a survey (215 participants). We found a greater number of significant models to predict rejection factors than acceptance factors, although in all cases the amount of variance explained by the models was relatively small. This demonstrates the need to design and, also, introduce such technique in a contextualised and personalised style to avoid rejection and reactance.
机译:数字媒体使用可能是有问题的;表现出行为成瘾的症状,如情绪修饰,耐受性,冲突,显着性,戒断症状和复发。谷歌数字福利和Apple屏幕时间是新兴工具系列的例子,以帮助人们与技术有更健康,更加有意识的关系。对等支持组是一种用于行为改变和复发预防的已知技术。它可以在线促进,特别是具有先进的社交网络技术。对等支持组的元素已经嵌入数字井绕工具中,例如,同行比较,同行承诺,集体使用限制设置和家庭时间。然而,缺乏关于影响人们接受和拒绝在线同行支持小组的因素的研究,以加强数字福祉。以前的工作已经定性探索了加入和参与这些群体的接受和拒绝因素。在本文中,我们定量研究文化,人格,自我控制,性别,加入群体意愿和对其有用的感知的关系,就这种接受和拒绝因素。定性阶段包括两个焦点小组和16个访谈,而定量阶段由调查组成(215名参与者)。我们发现更多的重要模型来预测拒绝因素而不是验收因素,尽管在所有情况下,模型解释的差异量相对较小。这证明了需要设计和,在语境化和个性化的风格中介绍这种技术,以避免拒绝和电抗。

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