Designing Resource Allocation Tools to Promote Fair Allocation: Do Visualization and Information Framing Matter?

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

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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设计资源分配工具促进公平分配:可视化和信息框架重要吗?
针对人道主义援助的人类决策研究发现,认知偏见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索了克服这些认知偏见的方法。本研究探讨互动式资源分配工具的设计是否有助于促进分配公平。我们特别研究了演示格式(使用文本或可视化)和特定框架策略(显示分配给群体或个人的资源)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,将资金分配给两个虚构的项目,使两个不同的社区受益。我们的主要发现表明,个人框架的可视化和文本可能能够抑制由群体框架设计引起的不公平分配。这项工作开辟了新的视角,可以激发研究如何设计交互式工具和可视化来对抗导致不公平决策的认知偏见。
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