CAPE produces spatially grounded natural-language explanations for document layouts using pattern detection and multi-level context, rated more helpful than content-only baselines in a user study.
IEEE Transactions on Visualization and Computer Graphics 31, 1 (2025), 1279–1289
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HCI researchers designed a museum exhibit using feminist data theories to introduce data through a personal, handmade 'hugging_face vibe' distinct from traditional science displays, along with four design choices for creating such vibes.
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Context-Aware Explanations for Spatialized Document Layouts
CAPE produces spatially grounded natural-language explanations for document layouts using pattern detection and multi-level context, rated more helpful than content-only baselines in a user study.
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Designing Vibes in a Science Museum: from @Science to @hugging_face
HCI researchers designed a museum exhibit using feminist data theories to introduce data through a personal, handmade 'hugging_face vibe' distinct from traditional science displays, along with four design choices for creating such vibes.