Gridlines Mitigate Sine Illusion in Line Charts

Clayton Knittel, Jane Awuah, Steven Franconeri, Cindy Xiong Bearfield*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The sine illusion is an underestimation of the difference between two lines when both lines have increasing slopes. We evaluate three visual manipulations on mitigating sine illusions: dotted lines, aligned gridlines, and offset gridlines via a user study. We asked participants to compare the deltas between two lines at two time points and found aligned gridlines to be the most effective in mitigating sine illusions. Using data from the user study, we produced a model that predicts the impact of the sine illusion in line charts by accounting for the ratio of the vertical distance between the two points of comparison. When the ratio is less than 50%, participants begin to be influenced by the sine illusion. This effect can be significantly exacerbated when the difference between the two deltas falls under 30%. We compared two explanations for the sine illusion based on our data: either participants were mistakenly using the perpendicular distance between the two lines to make their comparison (the perpendicular explanation), or they incorrectly relied on the length of the line segment perpendicular to the angle bisector of the bottom and top lines (the equal triangle explanation). We found the equal triangle explanation to be the more predictive model explaining participant behaviors.

Original languageEnglish (US)
Title of host publicationProceedings - 2024 IEEE Visualization Conference - Short Papers, VIS 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages246-250
Number of pages5
ISBN (Electronic)9798350354850
DOIs
StatePublished - 2024
Event2024 IEEE Visualization and Visual Analytics Conference, VIS 2024 - St. Pete Beach, United States
Duration: Oct 13 2024Oct 18 2024

Publication series

NameProceedings - 2024 IEEE Visualization Conference - Short Papers, VIS 2024

Conference

Conference2024 IEEE Visualization and Visual Analytics Conference, VIS 2024
Country/TerritoryUnited States
CitySt. Pete Beach
Period10/13/2410/18/24

Funding

The authors wish to thank Judith Uchidiuno, as well as NSF awards IIS-2237585 and IIS-2311575 for support.

Keywords

  • bias
  • gridlines
  • perception
  • sine illusion
  • thresholds

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Software
  • Media Technology
  • Modeling and Simulation

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