activity
20162026
most citedA Heuristic Approach for Dual Expert/End-User Evaluation of Guidance in Visual Analytics

10 citations · 10 across the 3 of their papers we have counts for

collaborators
Showing cs.HCShow all

5 papers · 1 filter

cs.HC2026

AI-Centered Grand Challenges in Visual Analytics for Healthcare: Synthesizing the VAHC 2025 Community Experience

Jürgen Bernard, David Gotz, Robert S Laramee +4

The intersection of AI, healthcare, and visualization is evolving rapidly, posing challenges that cut across disciplinary boundaries and resist easy resolution. The Visual Analytic…

cs.HC202310 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

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

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.HC2019

Immersive Analytics of Large Dynamic Networks via Overview and Detail Navigation

Johannes Sorger, Manuela Waldner, Wolfgang Knecht +1

Analysis of large dynamic networks is a thriving research field, typically relying on 2D graph representations. The advent of affordable head mounted displays however, sparked new…