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20192024
most citedChallenges and Opportunities in Data Visualization Education: A Call to Action

5 citations · 8 across the 4 of their papers we have counts for

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cs.HC2024

Open Your Ears and Take a Look: A State-of-the-Art Report on the Integration of Sonification and Visualization

Kajetan Enge, Elias Elmquist, Valentina Caiola +7

The research communities studying visualization and sonification for data display and analysis share exceptionally similar goals, essentially making data of any kind interpretable…

cs.HC2023

VisAhoi: Towards a Library to Generate and Integrate Visualization Onboarding Using High-level Visualization Grammars

Christina Stoiber, Daniela Moitzi, Holger Stitz +5

Visualization onboarding supports users in reading, interpreting, and extracting information from visual data representations. General-purpose onboarding tools and libraries are ap…

cs.HC20235 cited

Challenges and Opportunities in Data Visualization Education: A Call to Action

Benjamin Bach, Mandy Keck, Fateme Rajabiyazdi +18

This paper is a call to action for research and discussion on data visualization education. As visualization evolves and spreads through our professional and personal lives, we nee…

cs.HC20223 cited

Visualization Onboarding Grounded in Educational Theories

Christina Stoiber, Markus Wagner, Florian Grassinger +5

The aim of visualization is to support people in dealing with large and complex information structures, to make these structures more comprehensible, facilitate exploration, and en…

cs.HC2019

Towards a Structural Framework for Explicit Domain Knowledge in Visual Analytics

Alexander Rind, Markus Wagner, Wolfgang Aigner

Clinicians and other analysts working with healthcare data are in need for better support to cope with large and complex data. While an increasing number of visual analytics enviro…

cs.HC2019

Looking beyond the horizon: Evaluation of four compact visualization techniques for time series in a spatial context

Manuel Dahnert, Alexander Rind, Wolfgang Aigner +1

Visualizing time series in a dense spatial context such as a geographical map is a challenging task, which requires careful balance between the amount of depicted data and perceptu…