Authors. Comma separated list, e.g. `["Bob Smith", "David Jones"]`.

authors = [“Alireza Karduni”,“Ryan Wesslen”,“Isaac Cho”,“Wenwen Dou”]

Publication type.

Legend:

0 = Uncategorized

1 = Conference paper

2 = Journal article

3 = Manuscript

4 = Report

5 = Book

6 = Book section

publication_types = [“1”]

Publication name and optional abbreviated version.

publication = “In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, ACM.” publication_short = “In CHI”

Abstract and optional shortened version.

abstract = “We propose a visualization technique, Du Bois wrapped bar chart, inspired by work of W.E.B Du Bois. Du Bois wrapped bar charts enable better large-to-small bar comparison by wrapping large bars over a certain threshold. We first present two crowdsourcing experiments comparing wrapped and standard bar charts to evaluate (1) the benefit of wrapped bars in helping participants identify and compare values; (2) the characteristics of data most suitable for wrapped bars. In the first study (n=98) using real-world datasets, we find that wrapped bar charts lead to higher accuracy in identifying and estimating ratios between bars. In a follow-up study (n=190) with 13 simulated datasets, we find participants were consistently more accurate with wrapped bar charts when certain category values are disproportionate as measured by entropy and H-spread. Finally, in an in-lab study, we investigate participants’ experience and strategies, leading to guidelines for when and how to use wrapped bar charts.” abstract_short = “”

Is this a selected publication? (true/false)

selected = false

Projects (optional).

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Simply enter your project’s folder or file name without extension.

E.g. `projects = ["deep-learning"]` references

`content/project/deep-learning/index.md`.

Otherwise, set `projects = []`.

projects = []

Tags (optional).

Set `tags = []` for no tags, or use the form `tags = ["A Tag", "Another Tag"]` for one or more tags.

tags = [“graphical perception”, “information visualization”, “mechanical turk”]

Links (optional).

url_pdf = “https://dl.acm.org/doi/abs/10.1145/3313831.3376365” url_preprint = “https://arxiv.org/abs/2001.03271” url_code = “https://dl.acm.org/action/downloadSupplement?doi=10.1145%2F3313831.3376365&file=pn3825aux.zip&download=true” url_dataset = “” url_project = “https://medium.com/multiple-views-visualization-research-explained/visualizing-categorical-data-with-disproportionate-values-using-du-bois-wrapped-bar-charts-7dd9e4901fa6” url_slides = “” url_video = “https://www.youtube.com/watch?v=j0qykZO7YKU” url_poster = “” url_source = “”

Custom links (optional).

Uncomment line below to enable. For multiple links, use the form `[{...}, {...}, {...}]`.

url_custom = [{name = “Custom Link”, url = “http://example.org”}]

Digital Object Identifier (DOI)

doi = “”

Does this page contain LaTeX math? (true/false)

math = false

Featured image

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[image] # Caption (optional) # caption = “Image credit: Unsplash”

# Focal point (optional) # Options: Smart, Center, TopLeft, Top, TopRight, Left, Right, BottomLeft, Bottom, BottomRight focal_point = “” +++

Authors. Comma separated list, e.g. ["Bob Smith", "David Jones"].