How to evaluate data visualizations across different levels of understanding

Alyxander Burns; Cindy Xiong; Steven Franconeri; Alberto Cairo; Narges Mahyar

doi:10.1109/BELIV51497.2020.00010

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Conference proceeding

How to evaluate data visualizations across different levels of understanding

Alyxander Burns, Cindy Xiong, Steven Franconeri, Alberto Cairo and Narges Mahyar

2020 IEEE Workshop on Evaluation and Beyond - Methodological Approaches to Visualization (BELIV), pp.19-28

2020-10

DOI: https://doi.org/10.1109/BELIV51497.2020.00010

Abstract

Data visualization

Human-centered computing

Task analysis

Taxonomy

Visualization

Visualization design and evaluation methods

Education

Psychology

Systematics

The following topics are dealt with: data visualisation; human computer interaction; diseases; epidemics; user interfaces; user experience; medical computing; interactive systems; medical information systems; human factors.

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12 Record Views

6 Times Cited - Web of Science

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

Source: InCites

Details

Title: How to evaluate data visualizations across different levels of understanding
Creators: Alyxander Burns - UMass Amherst
Cindy Xiong - Northwestern University
Steven Franconeri - Northwestern University
Alberto Cairo - University of Miami
Narges Mahyar - UMass Amherst
Publication Details: 2020 IEEE Workshop on Evaluation and Beyond - Methodological Approaches to Visualization (BELIV), pp.19-28
Publisher: IEEE
Academic Unit: School of Communication - Journalism & Media Mgmt; School of Communication
Language: English
Resource Type: Conference proceeding
Record Identifier: 991031643093002976