Cognitive Neuroimaging Unit, CEA, INSERM, NeuroSpin Center, Université Paris-Saclay, 91191, Gif-sur-Yvette, France.
Collège de France, Université Paris Sciences Lettres (PSL), 75005, Paris, France.
Sci Rep. 2023 Jun 24;13(1):10266. doi: 10.1038/s41598-023-37172-3.
Data plots are widely used in science, journalism and politics, since they efficiently allow to depict a large amount of information. Graphicacy, the ability to understand graphs, has thus become a fundamental cultural skill comparable to literacy or numeracy. Here, we introduce a measure of intuitive graphicacy that assesses the perceptual ability to detect a trend in noisy scatterplots ("does this graph go up or down?"). In 3943 educated participants, responses vary as a sigmoid function of the t-value that a statistician would compute to detect a significant trend. We find a minimum level of core intuitive graphicacy even in unschooled participants living in remote Namibian villages (N = 87) and 6-year-old 1st-graders who never read a graph (N = 27). The sigmoid slope that we propose as a proxy of intuitive graphicacy increases with education and tightly correlates with statistical and mathematical knowledge, showing that experience contributes to refining graphical intuitions. Our tool, publicly available online, allows to quickly evaluate and formally quantify a perceptual building block of graphicacy.
数据图在科学、新闻和政治领域被广泛应用,因为它们能够高效地呈现大量信息。因此,图形解读能力(即理解图形的能力)已成为一种与读写能力和计算能力相当的基本文化技能。在这里,我们引入了一种衡量直观图形解读能力的方法,该方法可评估在存在噪声的散点图中检测趋势的感知能力(“这条线是上升还是下降?”)。在 3943 名受过教育的参与者中,他们的反应呈“S”型函数变化,与统计学家为检测显著趋势而计算的 t 值有关。我们发现,即使是在纳米比亚偏远村庄中未受过教育的参与者(N=87)和从未阅读过图表的 6 岁一年级学生(N=27)中,也存在基本的直观图形解读能力。我们提出的作为直观图形解读能力指标的“S”型斜率随着教育程度的提高而增加,并与统计和数学知识紧密相关,这表明经验有助于完善图形直觉。我们的工具已在网上公开,可用于快速评估和正式量化图形解读能力的一个感知组成部分。