Safire is a two-dimensional conceptual model that defines visualization similarity via comparison criteria and representation modalities to support retrieval system design and analysis.
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Grounding synthetic personas in real-user artifacts aligns their feedback language and concerns with documented experts, but both synthetic conditions converge on a find-and-adapt frame and miss the image-modality preference that real experts showed.
The paper introduces KI-Adventskalender, an online daily challenge series for data and AI literacy, and reports higher participation in 2025 with persistent early attrition and stabilization after day 12.
citing papers explorer
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Safire: Similarity Framework for Visualization Retrieval
Safire is a two-dimensional conceptual model that defines visualization similarity via comparison criteria and representation modalities to support retrieval system design and analysis.
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Sycamore: Characterizing Synthetic Personas for Evaluating Genomics Visualization Retrieval
Grounding synthetic personas in real-user artifacts aligns their feedback language and concerns with documented experts, but both synthetic conditions converge on a find-and-adapt frame and miss the image-modality preference that real experts showed.
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KI-Adventskalender: An Informal Learning Intervention for Data & AI Literacy
The paper introduces KI-Adventskalender, an online daily challenge series for data and AI literacy, and reports higher participation in 2025 with persistent early attrition and stabilization after day 12.