Abstract

Graphs have become an increasingly important means of representing data, for instance, when communicating data on climate change. However, graph characteristics might significantly affect graph comprehension. The goal of the present work was to test whether the marking forms usually depicted on line-graphs, can have an impact on graph evaluation. As past work suggests that triangular forms might be related to threat, we compared the effect of triangular marking forms with other symbols (triangles, circles, squares, rhombi, and asterisks) on subjective assessments. Participants in Study 1 (N = 314) received 5 different line-graphs about climate change, each of them using one out of 5 marking forms. In Study 1, the threat and arousal ratings of the graphs with triangular marking shapes were not higher than those with the other marking symbols. Participants in Study 2 (N = 279) received the same graphs, yet without labels and indeed rated the graphs with triangle point markers as more threatening. Testing whether local rather than global spatial attention would lead to an impact of marker shape in climate graphs, Study 3 (N = 307) documented that a task demanding to process a specific data-point on the graph (rather than just the line graph as a whole) did not lead to an effect either. These results suggest that marking symbols can principally affect threat and arousal ratings but not in the context of climate change. Hence, in graphs on climate change, choice of point markers does not have to take potential side-effects on threat and arousal into account. These seem to be restricted to the processing of graphs where form aspects face less competition from the content domain on judgments.

Highlights

  • Data graphs are one of the most powerful tools to communicate climate change information efficiently

  • In order to fill this gap, we examined the influence of geometrical figures as point markers on subjective ratings of line graph content

  • Given the age-heterogeneous sample, we explored whether threat or arousal ratings would substantially correlate with age

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Summary

Introduction

Data graphs are one of the most powerful tools to communicate climate change information efficiently. They play an important role when researchers communicate with each other or when results of high societal relevance are communicated in media and scientific textbooks, (see Glazer, 2011, for a review). Data graphs (and especially line graphs) seem omnipresent in climate research and communication of research on climate change. In the fifth assessment report of the Intergovernmental Panel on Climate Change (IPCC, 2014), 184 pages of the IPCC5 main chapters (page 111 to page 1246; IPPC, 2014) contain data graphs, 68 of them are line graphs whereas tables displaying quantitative data are comparatively rare (only 24 pages contain such tables).

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