research-article

Data-Driven Mark Orientation for Trend Estimation in Scatterplots

Authors:

Michael Correll,

Oliver Deussen,

Yunhai WangAuthors Info & Claims

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Article No.: 473, Pages 1 - 16

https://doi.org/10.1145/3411764.3445751

Published: 07 May 2021 Publication History

Abstract

A common task for scatterplots is communicating trends in bivariate data. However, the ability of people to visually estimate these trends is under-explored, especially when the data violate assumptions required for common statistical models, or visual trend estimates are in conflict with statistical ones. In such cases, designers may need to intervene and de-bias these estimations, or otherwise inform viewers about differences between statistical and visual trend estimations. We propose data-driven mark orientation as a solution in such cases, where the directionality of marks in the scatterplot guide participants when visual estimation is otherwise unclear or ambiguous. Through a set of laboratory studies, we investigate trend estimation across a variety of data distributions and mark directionalities, and find that data-driven mark orientation can help resolve ambiguities in visual trend estimates.

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Cited By

Xue YPaetzold PKehlbeck RChen BKwan KWang YDeussen O(2023)Reducing Ambiguities in Line-Based Density Plots by Image-Space ColorizationIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332714930:1(825-835)Online publication date: 26-Oct-2023
https://dl.acm.org/doi/10.1109/TVCG.2023.3327149
Shen LShen ELuo YYang XHu XZhang XTai ZWang J(2023)Towards Natural Language Interfaces for Data Visualization: A SurveyIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2022.314800729:6(3121-3144)Online publication date: 1-Jun-2023
https://dl.acm.org/doi/10.1109/TVCG.2022.3148007
Strain GStewart AWarren PJay C(2023)The Effects of Contrast on Correlation Perception in ScatterplotsInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2023.103040176:COnline publication date: 1-Aug-2023
https://dl.acm.org/doi/10.1016/j.ijhcs.2023.103040
Show More Cited By

Index Terms

Data-Driven Mark Orientation for Trend Estimation in Scatterplots
1. Human-centered computing
  1. Human computer interaction (HCI)

Index terms have been assigned to the content through auto-classification.

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cover image ACM Conferences

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

May 2021

10862 pages

ISBN:9781450380966

DOI:10.1145/3411764

General Chairs:
Yoshifumi Kitamura
Tohoku University, Japan
,
Aaron Quigley
University of New South Wales, Australia
,
Program Chairs:
Katherine Isbister
University of California Santa Cruz, USA
,
Takeo Igarashi
The University of Tokyo, Japan
,
Publications Chairs:
Pernille Bjørn
University of Copenhagen, Denmark
,
Steven Drucker
Microsoft Research, USA

Copyright © 2021 ACM.

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Published: 07 May 2021

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CHI '21: CHI Conference on Human Factors in Computing Systems

May 8 - 13, 2021

Yokohama, Japan

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Cited By

Xue YPaetzold PKehlbeck RChen BKwan KWang YDeussen O(2023)Reducing Ambiguities in Line-Based Density Plots by Image-Space ColorizationIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332714930:1(825-835)Online publication date: 26-Oct-2023
https://dl.acm.org/doi/10.1109/TVCG.2023.3327149
Shen LShen ELuo YYang XHu XZhang XTai ZWang J(2023)Towards Natural Language Interfaces for Data Visualization: A SurveyIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2022.314800729:6(3121-3144)Online publication date: 1-Jun-2023
https://dl.acm.org/doi/10.1109/TVCG.2022.3148007
Strain GStewart AWarren PJay C(2023)The Effects of Contrast on Correlation Perception in ScatterplotsInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2023.103040176:COnline publication date: 1-Aug-2023
https://dl.acm.org/doi/10.1016/j.ijhcs.2023.103040
Xiong CStokes CKim YFranconeri S(2022)Seeing What You Believe or Believing What You See? Belief Biases Correlation EstimationIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2022.3209405(1-11)Online publication date: 2022
https://doi.org/10.1109/TVCG.2022.3209405

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