2017
DOI: 10.1186/s41235-017-0059-2
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Visual routines are associated with specific graph interpretations

Abstract: We argue that people compare values in graphs with a visual routine – attending to data values in an ordered pattern over time. Do these visual routines exist to manage capacity limitations in how many values can be encoded at once, or do they actually affect the relations that are extracted? We measured eye movements while people judged configurations of a two-bar graph based on size only (“[short tall] or [tall short]?”) and contrast only (“[light dark] or [dark light]?”). Participants exhibited visual routi… Show more

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Cited by 25 publications
(21 citation statements)
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“…To our knowledge, this is the first empirical demonstration of the curse of knowledge in the realm of data visualization, and even in the broader realm of visual perception. This result joins other recent explorations of the influence of perceptual and cognitive biases on interpretations of patterns in data visualizations, many of which cannot be easily mitigated [2,6,13,19,22,23,24,36,37,39,46]. Some of this research has begun to explore visual designs and interactive decision-making environments that mitigate these biases [12].…”
Section: Resultssupporting
confidence: 70%
See 1 more Smart Citation
“…To our knowledge, this is the first empirical demonstration of the curse of knowledge in the realm of data visualization, and even in the broader realm of visual perception. This result joins other recent explorations of the influence of perceptual and cognitive biases on interpretations of patterns in data visualizations, many of which cannot be easily mitigated [2,6,13,19,22,23,24,36,37,39,46]. Some of this research has begun to explore visual designs and interactive decision-making environments that mitigate these biases [12].…”
Section: Resultssupporting
confidence: 70%
“…While a perfectly rational memory system should process or remember different types of information equally well, data visualizations can be more engaging and better remembered if they are distinctive, concrete, or look more like real-world objects [2,6,7,8,19] . Storytelling techniques adapted from journalism can influence the way people extract data from visualizations [23,24,36,37,39,45]. Still more work has sought evidence for whether a viewer's history of previously seen data visualizations can sway their perception of a subsequent, but unrelated, visualization [26,49].…”
Section: Related Workmentioning
confidence: 99%
“…Research on effective visualization of data and visual communication of STEM concepts has capitalized on Gibsonian ideas of perception for action. Michal and Franconeri ( 2017 ) 13 show that the cognitive processes involved in graph interpretation manifest not in high-level cognition, but in knowing where to look. In an eye tracking study, participants looked at bar graphs and were asked to attend either to the size of the bar or the luminance.…”
Section: Visual Representationsmentioning
confidence: 99%
“…Xu & Clarke, 2012). Research in mathematics education has explored the embodied and distributed nature of meaning-making when it comes to mental arithmetic (Vallee-Tourangeau, Sirota, & Vallee-Tourangeau, 2016), statistics (Rueckert et al, 2017), interpreting graphs (Michal & Franconeri, 2017) and algebra (Marghetis, Landy, & Goldstone, 2016). Research in science education is making signifi cant headway exploring the embodied and distributed nature of meaning making in science, for example in physics (Johnson-Glenberg & Megowen-Romanowicz, 2017), geoscience (Jaeger, Wiley, & Moher, 2016) and earth science (Atit et al, 2016), subdisciplines which conceptually focus on spatial and temporal dimensions and therefore can be more easily related to the movement of the body in its relationship with the environment.…”
Section: Th E Multimodal Nature Of Science and Mathematicsmentioning
confidence: 99%