11 citations · 55 across the 19 of their papers we have counts for
17 papers · 1 filter
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…
Visual Explanations with Attributions and Counterfactuals on Time Series Classification
Udo Schlegel, Daniela Oelke, Daniel A. Keim +1
With the rising necessity of explainable artificial intelligence (XAI), we see an increase in task-dependent XAI methods on varying abstraction levels. XAI techniques on a global l…
Characterizing Uncertainty in the Visual Text Analysis Pipeline
Pantea Haghighatkhah, Mennatallah El-Assady, Jean-Daniel Fekete +4
Current visual text analysis approaches rely on sophisticated processing pipelines. Each step of such a pipeline potentially amplifies any uncertainties from the previous step. To…
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…
Characterizing Grounded Theory Approaches in Visualization
Alexandra Diehl, Alfie Abdul-Rahman, Benjamin Bach +5
Grounded theory (GT) is a research methodology that entails a systematic workflow for theory generation grounded on emergent data. In this paper, we juxtapose GT workflows with typ…
CorpusVis: Visual Analysis of Digital Sheet Music Collections
Matthias Miller, Julius Rauscher, Daniel A. Keim +1
Manually investigating sheet music collections is challenging for music analysts due to the magnitude and complexity of underlying features, structures, and contextual information.…