activity
20162024
most citedKAVAGait: Knowledge-Assisted Visual Analytics for Clinical Gait Analysis

60 citations · 179 across the 10 of their papers we have counts for

collaborators

10 papers

cs.HC2024★ 18 cited

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.HC2023★ 5 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.HC2022★ 3 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.HC2022

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…

cs.HC2022★ 35 cited

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…

cs.HC2019★ 10 cited

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…

cs.HC2017★ 60 cited

KAVAGait: Knowledge-Assisted Visual Analytics for Clinical Gait Analysis

Markus Wagner, Djordje Slijepcevic, Brian Horsak +3

In 2014, more than 10 million people in the US were affected by an ambulatory disability. Thus, gait rehabilitation is a crucial part of health care systems. The quantification of…

cs.CR2016★ 48 cited

A Knowledge-Assisted Visual Malware Analysis System: Design, Validation, and Reflection of KAMAS

Markus Wagner, Alexander Rind, Niklas Thür +1

IT-security experts engage in behavior-based malware analysis in order to learn about previously unknown samples of malicious software (malware) or malware families. For this, they…