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A virtual online environment for testing the effect of social and physical context on the effectiveness of health warning messages

机译:用于测试社会和物理背景对健康警告信息有效性影响的虚拟在线环境

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Testing the effectiveness of warning statements designed to encourage healthy lifestyle behaviours is largely done by showing the messages to study participants in the absence of 'real world' social and physical contexts. This approach does not factor in the impact of the medium of the message. A virtual, 360-degree environment (Messaging360) was developed that online participants can explore and be exposed to messages in a variety of different social and physical contexts: through advertising in a newspaper, labels on products and from a small child and a doctor avatar. The platform allows for large numbers of participants to be tested in a way that models real-life contexts for the messages and so may represent a more effective way of assessing their impact in delivering the health information. Analysis revealed a significant difference in the time spent attending to messages delivered by different people or objects in the simulation. Participants also attended to the message delivered by the doctor avatar longer than the child avatar, which was further affected by the order in which they were encountered. There was also a significant association between age and time spent in the simulation. It was concluded that the Messaging360 platform models real-life contexts closely enough to provoke detectable differences in responses from participants by varying the context in which the message is being delivered. The program and the warning statements can be manipulated to test a broad range of hypotheses in future studies.
机译:测试旨在鼓励健康的生活方式行为的警告陈述的有效性在很大程度上通过显示了在没有“现实世界”的社会和物理背景的情况下学习参与者的消息。这种方法不考虑消息媒体的影响。制定了虚拟,360度的环境(Messaging360),在线参与者可以探索并暴露于各种不同的社会和身体上的信息:通过在报纸上广告,产品标签和一个小孩和医生头像。该平台允许以大量的参与者以模拟信息的现实生活环境,因此可以代表更有效的方式来评估它们在提供健康信息方面的影响。分析揭示了在模拟中不同人或物体提供的消息所花费的时间差异。参与者还参加了医生阿凡达的信息,而不是儿童化身,这进一步受到他们遇到的顺序的影响。在模拟中花了年龄和时间之间也存在重大关联。得出结论是,Messaging360平台模型的实际环境非常紧密地,通过改变传递信息的上下文来挑起与参与者的响应中的可检测到的差异。可以操纵该计划和警告陈述,以测试未来研究中的广泛假设。

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