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Natural Language Generation enhances human decision-making with uncertain information

机译:自然语言生成增强了不确定信息下的人类决策能力

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Decision-making is often dependent on uncertain data, e.g. data associated with confidence scores or probabilities. We present a comparison of different information presentations for uncertain data and, for the first time, measure their effects on human decision-making. We show that the use of Natural Language Generation (NLG) improves decision-making under uncertainty, compared to state-of-the-art graphical-based representation methods. In a task-based study with 442 adults, we found that presentations using NLG lead to 24% better decision-making on average than the graphical presentations, and to 44% better decision-making when NLG is combined with graphics. We also show that women achieve significantly better results when presented with NLG output (an 87% increase on average compared to graphical presentations).
机译:决策通常取决于不确定的数据,例如与置信度得分或概率相关的数据。我们比较了不确定信息的不同信息表示形式,并首次测量了它们对人类决策的影响。我们证明,与最新的基于图形的表示方法相比,使用自然语言生成(NLG)可以改善不确定性下的决策。在一项针对442名成年人的基于任务的研究中,我们发现使用NLG进行演示比使用图形演示平均可提高24%的决策,而将NLG与图形结合使用则可提高44%的决策。我们还显示,在以NLG输出的情况下,女性可以获得明显更好的效果(与图形显示相比,平均增加了87%)。

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