Affective Congruence in Visualization Design: Influences on Reading Categorical Maps

Cary L. Anderson, Anthony C. Robinson

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Recent work in data visualization has demonstrated that small, perceptually-distinct color palettes such as those used in categorical mapping can connote significant affective qualities. Data that are mapped or otherwise visualized are also often emotive in nature, either inherently (e.g., climate change, disease mortality rates), or by design, such as can be found in visual storytelling. However, little is known about how the affective qualities of color interact with those of data context in visualization design. This paper describes the results of a crowdsourced study on the influence of affectively congruent versus incongruent color schemes on categorical map-reading response. We report both objective (pattern detection; area comparison) and subjective (affective quality; appropriateness; preference) measures of map-reader response. Our results suggest that affectively congruent colors amplify perceptions of the affective qualities of maps with emotive topics, affective incongruence may cause confusion, and that affective congruence is particularly influential in maps of positive-leaning data topics. Finally, we offer preliminary design recommendations for balancing color congruence with other design factors, and for synthesizing color and affective context in thematic map design.

Original languageEnglish (US)
JournalIEEE Transactions on Visualization and Computer Graphics
DOIs
StateAccepted/In press - 2021

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design

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