35 citations · 46 across the 6 of their papers we have counts for
7 papers
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…
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…
EduVis: Workshop on Visualization Education, Literacy, and Activities
Mandy Keck, Samuel Huron, Georgia Panagiotidou +5
This workshop focuses on visualization education, literacy, and activities. It aims to streamline previous efforts and initiatives of the visualization community to provide a forma…
Reflections and Considerations on Running Creative Visualization Learning Activities
Jonathan C. Roberts, Benjamin Bach, Magdalena Boucher +11
This paper draws together nine strategies for creative visualization activities. Teaching visualization often involves running learning activities where students perform tasks that…
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…
Comparative Evaluations of Visualization Onboarding Methods
Christina Stoiber, Conny Walchshofer, Margit Pohl +5
Comprehending and exploring large and complex data is becoming increasingly important for users in a wide range of application domains. Still, non-experts in visual data analysis o…
Perspectives of Visualization Onboarding and Guidance in VA
Christina Stoiber, Davide Ceneda, Markus Wagner +5
A typical problem in Visual Analytics is that users are highly trained experts in their application domains, but have mostly no experience in using VA systems. Thus, users often ha…