activity
20032023
most citedPerspectives of Visualization Onboarding and Guidance in VA

35 citations · 74 across the 10 of their papers we have counts for

collaborators

12 papers

cs.HC2023★ 10 cited

A Heuristic Approach for Dual Expert/End-User Evaluation of Guidance in Visual Analytics

Davide Ceneda, Christopher Collins, Mennatallah El-Assady +3

Guidance can support users during the exploration and analysis of complex data. Previous research focused on characterizing the theoretical aspects of guidance in visual analytics…

cs.GR2023

Visual Analytics for Understanding Draco's Knowledge Base

Johanna Schmidt, Bernhard Pointner, Silvia Miksch

Draco has been developed as an automated visualization recommendation system formalizing design knowledge as logical constraints in ASP (Answer-Set Programming). With an increasing…

cs.HC2023★ 3 cited

Visualizing Uncertainty in Sets

Christian Tominski, Michael Behrisch, Susanne Bleisch +4

Set visualization facilitates the exploration and analysis of set-type data. However, how sets should be visualized when the data is uncertain is still an open research challenge.…

cs.HC2022

On Time and Space: An Experimental Study on Graph Structural and Temporal Encodings

Velitchko Filipov, Alessio Arleo, Markus Bögl +1

Dynamic networks reflect temporal changes occurring to the graph's structure and are used to model a wide variety of problems in many application fields. We investigate the design…

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.HC2021

Visual Parameter Selection for Spatial Blind Source Separation

Nikolaus Piccolotto, Markus Bögl, Christoph Muehlmann +3

Analysis of spatial multivariate data, i.e., measurements at irregularly-spaced locations, is a challenging topic in visualization and statistics alike. Such data are integral to m…