activity
20172023
most citedPerspectives of Visualization Onboarding and Guidance in VA

35 citations · 52 across the 5 of their papers we have counts for

collaborators

5 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.HC2023★ 3 cited

TimeLighting: Guided Exploration of 2D Temporal Network Projections

Velitchko Filipov, Davide Ceneda, Daniel Archambault +1

In temporal ( event-based ) networks, time is a continuous axis, with real-valued time coordinates for each node and edge. Computing a layout for such graphs means embedding the no…

cs.HC2022★ 2 cited

Lotse: A Practical Framework for Guidance in Visual Analytics

Fabian Sperrle, Davide Ceneda, Mennatallah El-Assady

Co-adaptive guidance aims to enable efficient human-machine collaboration in visual analytics, as proposed by multiple theoretical frameworks. This paper bridges the gap between su…

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.HC2017★ 2 cited

Amending the Characterization of Guidance in Visual Analytics

Davide Ceneda, Theresia Gschwandtner, Thorsten May +4

At VAST 2016, a characterization of guidance has been presented. It includes a definition of guidance and a model of guidance based on van Wijk's model of visualization. This note…