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How Human Factors Can Help Preserve Democracy in the Age of Pandemics

机译:人类的因素如何有助于保护大流行时期的民主

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Objective To describe user-centered voting systems that would support the safe conduct of voting in a pandemic environment. Background The COVID-19 pandemic has complicated our democratic processes. Voters and poll workers feel threatened by the potential dangers of voting in business-as-usual polling stations. Indeed, significant problems were encountered in the recent 2020 primary elections in Wisconsin, where the National Guard had to be mobilized because so few poll workers reported to work, and more than 90% of polling places had to remain closed. Method We describe a number of possible user-centered solutions that would help protect voters and poll workers in times of pandemic, and also report the results of a survey that asked voters and poll workers about what kinds of systems might make them willing to vote. Results Political as well as safety considerations will need to be considered as these safer voting solutions are designed since, surprisingly, the kinds of solutions preferred depend on the political affiliation of the voters. Conclusion Human factors professionals have a large role to play in realizing the safe, successful implementation of these user-centered systems. Good human factors analysis can help minimize the risk to voters and poll workers. Moreover, human factors methods can help safeguard democracy by creating safe and well-engineered environments that are conducive to voting in the age of pandemics. Application Creating safe and effective voting solutions that protect voters and poll workers during pandemic outbreaks is crucial to the preservation of democracy.
机译:目的介绍用户中心的投票系统,这些系统将支持大流行环境中投票的安全行为。背景技术Covid-19大流行使我们的民主进程复杂化。选民和民意调查工人因常规投票站投票的潜在危害而感到威胁。事实上,威斯康星州最近的2020年主要选举中遇到了重大问题,在那里国民卫队必须被动员,因为这么少的民意工人报告到工作,超过90%的投票站必须保持关闭。方法我们描述了一些可能的用户中心解决方案,这些解决方案有助于保护选民和民意调查工人在大流行时期,并报告一项调查结果,要求选民和民意调查工人关于哪些系统可能让他们愿意投票。结果政治和安全考虑需要考虑,因为这些更安全的投票解决方案是令人惊讶的,令人惊讶的是,令人惊讶的是,优先考虑的各种解决方案取决于选民的政治隶属关系。结论人类因素专业人员在实现安全,成功实施这些用户居中的系统方面有很大的作用。良好的人为因素分析可以帮助最大限度地减少投票权和民意调查工人的风险。此外,人类因素方法可以通过创造有利于流行病时代的安全和精心设计的环境来帮助保护民主。应用程序创建安全有效的投票解决方案,以保护在大流行爆发期间保护选民和民意调查工人对民主的保存至关重要。

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