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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:一个虚拟的在线环境,用于测试社交和物理环境对健康警告消息有效性的影响

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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的警告声明的有效性主要是通过在没有“真实世界”的社会和身体环境的情况下向参与者展示信息来完成的。这种方法不考虑消息媒介的影响。开发了一个虚拟的360度环境(Messaging360),在线参与者可以在各种不同的社交和物理环境中浏览消息并暴露于消息中:通过在报纸上做广告,在产品上贴上标签以及在小孩和医生的头像上。该平台允许以对消息的真实上下文进行建模的方式对大量参与者进行测试,因此可以代表一种更有效的方式来评估其对传递健康信息的影响。分析显示,在模拟中,不同人或对象传递消息所花费的时间存在显着差异。与会人员还参加了由医生化身传递的消息,其时间比孩子化身更长,这进一步受到他们遇到的顺序的影响。年龄和模拟时间之间也存在显着关联。结论是,Messaging360平台对现实生活中的上下文进行了足够紧密的建模,以通过更改消息传递的上下文来激发参与者的响应中可检测到的差异。可以对程序和警告声明进行操作,以测试未来研究中的各种假设。

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