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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4 Pith papers cite this work. Polarity classification is still indexing.
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Sycamore shows grounding synthetic personas with real-user artifacts aligns their feedback language and concerns more closely with experts, yet both synthetic conditions miss experts' image-modality preference and converge on a find-and-adapt evaluation frame.
A study of 10 experts reveals disagreement on whether frequency visualizations aid or hinder qualitative analysis of student responses in learning analytics tools.
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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Sycamore: Characterizing Synthetic Personas for Evaluating Genomics Visualization Retrieval
Sycamore shows grounding synthetic personas with real-user artifacts aligns their feedback language and concerns more closely with experts, yet both synthetic conditions miss experts' image-modality preference and converge on a find-and-adapt evaluation frame.
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Through the WordStream Glass: Revisiting Quantitative Encoding for Qualitative Learning Analytics
A study of 10 experts reveals disagreement on whether frequency visualizations aid or hinder qualitative analysis of student responses in learning analytics tools.
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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.