设计资源分配工具以促进公平分配:可视化和信息框架重要吗?

Arnav Verma, Luiz Morais, Pierre Dragicevic, Fanny Chevalier
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摘要

以人道主义援助为重点的人类决策研究发现,认知偏差会阻碍资源的公平分配。然而,很少有人机交互和信息可视化研究探讨如何克服这些认知偏差。这项研究探讨了交互式资源分配工具的设计是否有助于促进资源分配的公平性。我们特别研究了展示格式(使用文本或可视化)和特定框架策略(展示分配给团体或个人的资源)的效果。在我们的三个众包实验中,我们提供了不同的工具设计,在两个虚构的项目之间分配资金,这两个项目惠及两个不同的社区。我们的主要发现表明,以个人为框架的可视化和文本可能能够遏制以群体为框架的设计所造成的不公平分配。这项工作开辟了新的视角,可以激励人们研究如何利用互动工具和可视化来消除导致不公平决策的认知偏差。
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Designing Resource Allocation Tools to Promote Fair Allocation: Do Visualization and Information Framing Matter?
Studies on human decision-making focused on humanitarian aid have found that cognitive biases can hinder the fair allocation of resources. However, few HCI and Information Visualization studies have explored ways to overcome those cognitive biases. This work investigates whether the design of interactive resource allocation tools can help to promote allocation fairness. We specifically study the effect of presentation format (using text or visualization) and a specific framing strategy (showing resources allocated to groups or individuals). In our three crowdsourced experiments, we provided different tool designs to split money between two fictional programs that benefit two distinct communities. Our main finding indicates that individual-framed visualizations and text may be able to curb unfair allocations caused by group-framed designs. This work opens new perspectives that can motivate research on how interactive tools and visualizations can be engineered to combat cognitive biases that lead to inequitable decisions.
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