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20182023
most citedShould We Trust (X)AI? Design Dimensions for Structured Experimental Evaluations

11 citations · 55 across the 19 of their papers we have counts for

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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

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…

cs.HC2022

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…

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★ 3 cited

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…

cs.HC2022

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.…