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08/24/2023
A Heuristic Approach for Dual Expert/End-User Evaluation of Guidance in Visual Analytics
Guidance can support users during the exploration and analysis of comple...
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08/08/2023
RLHF-Blender: A Configurable Interactive Interface for Learning from Diverse Human Feedback
To use reinforcement learning from human feedback (RLHF) in practical ap...
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07/14/2023
Visual Explanations with Attributions and Counterfactuals on Time Series Classification
With the rising necessity of explainable artificial intelligence (XAI), ...
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06/21/2023
Which Spurious Correlations Impact Reasoning in NLI Models? A Visual Interactive Diagnosis through Data-Constrained Counterfactuals
We present a human-in-the-loop dashboard tailored to diagnosing potentia...
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06/15/2023
Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings
Explainable AI aims to render model behavior understandable by humans, w...
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11/23/2022
Automatic Generation of Socratic Subquestions for Teaching Math Word Problems
Socratic questioning is an educational method that allows students to di...
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10/07/2022
How to Enable Uncertainty Estimation in Proximal Policy Optimization
While deep reinforcement learning (RL) agents have showcased strong resu...
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09/22/2022
Characterizing Uncertainty in the Visual Text Analysis Pipeline
Current visual text analysis approaches rely on sophisticated processing...
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08/22/2022
BARReL: Bottleneck Attention for Adversarial Robustness in Vision-Based Reinforcement Learning
Robustness to adversarial perturbations has been explored in many areas ...
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08/17/2022
Visual Comparison of Language Model Adaptation
Neural language models are widely used; however, their model parameters ...
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08/08/2022
Lotse: A Practical Framework for Guidance in Visual Analytics
Co-adaptive guidance aims to enable efficient human-machine collaboratio...
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07/14/2022
Beware the Rationalization Trap! When Language Model Explainability Diverges from our Mental Models of Language
Language models learn and represent language differently than humans; th...
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07/11/2022
From Correlation to Causation: Formalizing Interpretable Machine Learning as a Statistical Process
Explainable AI (XAI) is a necessity in safety-critical systems such as i...
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06/27/2022
Humans are not Boltzmann Distributions: Challenges and Opportunities for Modelling Human Feedback and Interaction in Reinforcement Learning
Reinforcement learning (RL) commonly assumes access to well-specified re...
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03/23/2022
CorpusVis: Visual Analysis of Digital Sheet Music Collections
Manually investigating sheet music collections is challenging for music ...
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03/03/2022
Characterizing Grounded Theory Approaches in Visualization
Grounded theory (GT) is a research methodology that entails a systematic...
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06/28/2021
Communication Analysis through Visual Analytics: Current Practices, Challenges, and New Frontiers
The automated analysis of digital human communication data often focuses...
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06/11/2021
CommAID: Visual Analytics for Communication Analysis through Interactive Dynamics Modeling
Communication consists of both meta-information as well as content. Curr...
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12/08/2020
An Empirical Study of Explainable AI Techniques on Deep Learning Models For Time Series Tasks
Decision explanations of machine learning black-box models are often gen...
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10/22/2020
A Comparative Analysis of Industry Human-AI Interaction Guidelines
With the recent release of AI interaction guidelines from Apple, Google,...
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10/18/2020
Studying Visualization Guidelines According to Grounded Theory
Visualization guidelines, if defined properly, are invaluable to both pr...
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09/14/2020
Should We Trust (X)AI? Design Dimensions for Structured Experimental Evaluations
This paper systematically derives design dimensions for the structured e...
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09/04/2020
Augmenting Sheet Music with Rhythmic Fingerprints
In this paper, we bridge the gap between visualization and musicology by...
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09/16/2019
Towards A Rigorous Evaluation Of XAI Methods On Time Series
Explainable Artificial Intelligence (XAI) methods are typically deployed...
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08/21/2019
Framing Visual Musicology through Methodology Transfer
In this position paper, we frame the field of Visual Musicology by provi...
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08/07/2019
Speculative Execution for Guided Visual Analytics
We propose the concept of Speculative Execution for Visual Analytics and...
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08/01/2019
Semantic Concept Spaces: Guided Topic Model Refinement using Word-Embedding Projections
We present a framework that allows users to incorporate the semantics of...
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07/31/2019
Augmenting Music Sheets with Harmonic Fingerprints
Conventional Music Notation (CMN) is the well-established foundation for...
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07/29/2019
explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning
We propose a framework for interactive and explainable machine learning ...
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07/29/2019
VIANA: Visual Interactive Annotation of Argumentation
Argumentation Mining addresses the challenging tasks of identifying boun...
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10/25/2018