Understanding representations of uncertainty, an eye-tracking study part 1: the effect of anchoring

Mulder, K. J., Williams, L., Lickiss, M., Black, A., Charlton-Perez, A. ORCID: https://orcid.org/0000-0001-8179-6220, McCloy, R. ORCID: https://orcid.org/0000-0003-2333-9640 and McSorley, E. ORCID: https://orcid.org/0000-0002-2054-879X (2023) Understanding representations of uncertainty, an eye-tracking study part 1: the effect of anchoring. Geoscience Communications, 6 (3). pp. 97-110. ISSN 2569-7110 doi: 10.5194/gc-6-97-2023

Abstract/Summary

Geoscience communicators must think carefully about how uncertainty is represented and how users may interpret these representations. Doing so will help communicate risk more effectively, which can elicit appropriate responses. Communication of uncertainty is not just a geosciences problem; recently, communication of uncertainty has come to the forefront over the course of the COVID19 pandemic, but the lessons learned from communication during the pandemic can be adopted across geosciences as well. To test interpretations of environmental forecasts with uncertainty, a decision task survey was administered to 65 participants who saw different hypothetical forecast representations common to presentations of environmental data and forecasts: deterministic, spaghetti plot with and without a median line, fan plot with and without a median line, and box plot with and without a median line. While participants completed the survey, their eye movements were monitored with eye-tracking software. Participants’ eye movements were anchored to the median line, not focusing on possible extreme values to the same extent as when no median line was present. Additionally, participants largely correctly interpreted extreme values from the spaghetti and fan plots, but misinterpreted extreme values from the box plot, perhaps because participants spent little time fixating on the key. These results suggest that anchoring lines, such as median lines, should only be used where users should be guided to particular values and where extreme values are not as important in data interpretation. Additionally, fan or spaghetti plots should be considered instead of box plots to reduce misinterpretation of extreme values. Further study on the role of expertise and the change in eye movements across the graph area and key is explored in more detail in the companion paper to this study (Williams et al., 2023; hereafter Part 2).

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/113212
Item Type	Article
Refereed	Yes
Divisions	Life Sciences > School of Psychology and Clinical Language Sciences > Department of Psychology Arts, Humanities and Social Science > School of Arts and Communication Design > Typography & Graphic Communication Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology Life Sciences > School of Psychology and Clinical Language Sciences > Perception and Action
Publisher	Copernicus
Download/View statistics	View download statistics for this item