Studying attention to IPCC climate change maps with mobile eye-tracking

S3 Table. To further illustrate minor trends and detailed data across the five metrics, results were divided by both viewing conditions and the ten stimuli. S6 Fig displays box plots overlaid with individual data points, and S4 Table provides a comprehensive descriptive summary. Lastly, given the inherent gaze-estimation accuracy limits of the mobile eye tracker (approx- imately reported as �4˚ by the whitepaper from the manufacturer), conducting a highly gran- ular AOI-based analysis may lead to significant errors: particularly for a generic viewing condition, the monitor surface area might roughly translate to a surface of a 38˚ × 21.5˚ of visual angles. For instance, it is impractical to confidently display fixations on individual coun- tries due to these accuracy limitations and the relatively low sample size, which could skew the gaze estimation errors beyond mere random noise in the data. Nevertheless, as a proof of con- cept, the stimulus was divided into two broad AOIs: the upper section representing the map Fig 1. Fixation heatmaps for maps. Heatmaps illustrate fixation distributions across maps under single and paired-viewing conditions, using a green- to-red colour scale for shorter to longer fixation durations. Single- and paired-viewing conditions are shown in the first/third and second/fourth columns, respectively. Spatial common ground generally exhibits an upper-central tendency. Substantial overlap between conditions suggests that image-based saliency predominantly drives visual attention, over social context.

https://doi.org/10.1371/journal.pone.0316909.g001 PLOS ONE Studying attention to IPCC climate change maps with mobile eye-tracking PLOS ONE | https://doi.org/10.1371/journal.pone.0316909 January 10, 2025 7 / 17