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cs.HC2026
The Frustrometer: Detecting User Frustration in Data Visualization Tasks using Biomarkers and Interaction Patterns
Johannes Ellemose, Sophia Wanner, Djordje Slijepčević +4
Visualization research has largely solved \textit{how} to help a stuck or frustrated user -- through interactive onboarding, contextual help, and active guidance. The unsolved prob…
cs.CV2026
Explanatory Interactive Machine Learning for Bias Mitigation in Visual Gender Classification
Nathanya Satriani, Djordje Slijepčević, Markus Schedl +1
Explanatory interactive learning (XIL) enables users to guide model training in machine learning (ML) by providing feedback on the model's explanations, thereby helping it to focus…