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researcher

Cristina R. Ceja

Northwestern University

3 papers hereh-index 368 citations12 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.HC3
affiliations
  • Northwestern University
ORCID 0000-0002-7462-7979

identity via Semantic Scholar / OpenAlex

activity
20192021
most citedTruth or Square: Aspect Ratio Biases Recall of Position Encodings

21 citations · 22 across the 3 of their papers we have counts for

collaborators
Showing cs.HCShow all

3 papers · 1 filter

cs.HC2021

Show or Tell? Visual and Verbal Representations Bias Position Recall

Cristina R. Ceja, Cindy Xiong

When we view visualizations, we not only have a visual representation of the data, but also a verbal one. Recent work has shown that these visual representations of data can be bia…

cs.HC2020★ 21 cited

Truth or Square: Aspect Ratio Biases Recall of Position Encodings

Cristina R. Ceja, Caitlyn M. McColeman, Cindy Xiong +1

Bar charts are among the most frequently used visualizations, in part because their position encoding leads them to convey data values precisely. Yet reproductions of single bars o…

cs.HC2019★ 1 cited

Biased Average Position Estimates in Line and Bar Graphs: Underestimation, Overestimation, and Perceptual Pull

Cindy Xiong, Cristina R. Ceja, Casimir J. H. Ludwig +1

In visual depictions of data, position (i.e., the vertical height of a line or a bar) is believed to be the most precise way to encode information compared to other encodings (e.g.…

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