论文标题
数字联系跟踪模式是否会影响用户共享信息的意愿？定量研究
Does Mode of Digital Contact Tracing Affect User Willingness to Share Information? A Quantitative Study
论文作者
论文摘要
数字接触跟踪可以限制传染病的传播。然而，获得足够的采用仍然存在障碍。在这项研究中，我们研究了参与接触追踪的意愿受到两个关键因素的影响：数据收集模式和收集的数据类型。我们对美国220名受访者（美国）进行了一项基于方案的调查研究，以了解他们对与自动和手动接触方法相关的接触跟踪的看法。调查结果表明，智能手机以及公共卫生官员和医疗健康记录的结合是信息来源。通过定量分析，我们描述了不同的方式和个人人口统计学因素如何影响用户遵守以提供四个关键信息以接触跟踪。
Digital contact tracing can limit the spread of infectious diseases. Nevertheless, there remain barriers to attaining sufficient adoption. In this study, we investigate how willingness to participate in contact tracing is affected by two critical factors: the modes of data collection and the type of data collected. We conducted a scenario-based survey study among 220 respondents in the United States (U.S.) to understand their perceptions about contact tracing associated with automated and manual contact tracing methods. The findings indicate a promising use of smartphones and a combination of public health officials and medical health records as information sources. Through a quantitative analysis, we describe how different modalities and individual demographic factors may affect user compliance in providing four key pieces of information to contact tracing.
