论文标题
让我们赌博：差的可视化如何引起风险行为
Let's Gamble: How a Poor Visualization Can Elicit Risky Behavior
论文作者
论文摘要
数据可视化是评估和交流风险的标准工具。但是，并不总是清楚哪些设计是最佳的，或者编码选择如何影响风险感知和决策。在本文中，我们报告了一款大规模赌博游戏的发现，该游戏将参与者沉浸在其行动影响其奖金的环境中。参与者选择根据五个常见可视化设计进入彩票或获得保证的货币收益。通过衡量风险感知并观察决策，我们表明图标阵列倾向于引起经济上合理的行为。我们还发现，当出现区域比例的三角形和圆形设计时，人们更有可能赌博。使用我们的结果，我们对风险感知进行建模，并讨论我们的发现如何改善可视化选择。
Data visualizations are standard tools for assessing and communicating risks. However, it is not always clear which designs are optimal or how encoding choices might influence risk perception and decision-making. In this paper, we report the findings of a large-scale gambling game that immersed participants in an environment where their actions impacted their bonuses. Participants chose to either enter a lottery or receive guaranteed monetary gains based on five common visualization designs. By measuring risk perception and observing decision-making, we showed that icon arrays tended to elicit economically sound behavior. We also found that people were more likely to gamble when presented area proportioned triangle and circle designs. Using our results, we model risk perception and discuss how our findings can improve visualization selection.
