ETH Zurich, Department of Health Sciences and Technology, Consumer Behavior, Switzerland (CK).
Department of Health Sciences and Technology, Consumer Behavior, Switzerland (AJ).
Med Decis Making. 2017 Nov;37(8):942-954. doi: 10.1177/0272989X17713473. Epub 2017 Jun 15.
Individuals with low numeracy have difficulties with understanding complex graphs. Combining the information-processing approach to numeracy with graph comprehension and information-reduction theories, we examined whether high numerates' better comprehension might be explained by their closer attention to task-relevant graphical elements, from which they would expect numerical information to understand the graph. Furthermore, we investigated whether participants could be trained in improving their attention to task-relevant information and graph comprehension.
In an eye-tracker experiment ( N = 110) involving a sample from the general population, we presented participants with 2 hypothetical scenarios (stomach cancer, leukemia) showing survival curves for 2 treatments. In the training condition, participants received written instructions on how to read the graph. In the control condition, participants received another text. We tracked participants' eye movements while they answered 9 knowledge questions. The sum constituted graph comprehension. We analyzed visual attention to task-relevant graphical elements by using relative fixation durations and relative fixation counts.
The mediation analysis revealed a significant ( P < 0.05) indirect effect of numeracy on graph comprehension through visual attention to task-relevant information, which did not differ between the 2 conditions. Training had a significant main effect on visual attention ( P < 0.05) but not on graph comprehension ( P < 0.07).
Individuals with high numeracy have better graph comprehension due to their greater attention to task-relevant graphical elements than individuals with low numeracy. With appropriate instructions, both groups can be trained to improve their graph-processing efficiency. Future research should examine (e.g., motivational) mediators between visual attention and graph comprehension to develop appropriate instructions that also result in higher graph comprehension.
数感较低的个体在理解复杂图表方面存在困难。我们结合了数量处理方法、图表理解和信息简化理论,研究了高数量感个体更好的理解能力是否可以通过他们更关注任务相关的图形元素来解释,他们期望从这些元素中获取数字信息来理解图表。此外,我们还研究了参与者是否可以通过训练来提高他们对任务相关信息和图表理解的注意力。
在一项涉及一般人群样本的眼动追踪实验(N=110)中,我们向参与者展示了两个假设的场景(胃癌、白血病),展示了两种治疗方法的生存曲线。在训练条件下,参与者收到了关于如何阅读图表的书面说明。在对照条件下,参与者收到了另一份文本。我们在参与者回答 9 个知识问题时跟踪他们的眼球运动。总和构成了图表理解。我们通过相对注视持续时间和相对注视次数来分析对任务相关图形元素的视觉注意力。
中介分析显示,数感通过对任务相关信息的视觉注意力对图表理解有显著的(P<0.05)间接影响,而这种影响在两种条件下没有差异。培训对视觉注意力有显著的主要影响(P<0.05),但对图表理解没有显著影响(P<0.07)。
数感较高的个体由于比数感较低的个体更关注任务相关的图形元素,因此具有更好的图表理解能力。通过适当的指导,两个群体都可以接受训练来提高他们的图表处理效率。未来的研究应该研究视觉注意力和图表理解之间的(例如,动机)中介因素,以制定适当的指导方针,从而提高图表理解能力。