Creative Commons Attribution 4.0 International license
The field of visualization suffers from a persistent problem: guidance for visualization design is abundant but fragmented, unevenly evidenced, difficult to generalize across contexts, and often hard to access or teach. Further, these guidelines come from diverse sources, including theoretical foundations, empirical studies, design studies, and practitioner expertise. However, turning this knowledge into actionable forms of best practice remains an open problem. The goal of this seminar was to examine how guidelines are produced, interpreted, and operationalized, especially under pressures from domain specificity, communication stakes (e.g., misinformation and decision support), and the emerging role of generative AI in visualization workflows. The seminar challenged assumptions about the validity, transferability, and values encoded in guidelines through working groups on AI and guidelines, characterizing guidelines, values and teaching, and the goals for effective guidance.
@Article{meyer_et_al:DagRep.15.6.32,
author = {Meyer, Miriah and Quadri, Ghulam Jilani and Rosen, Paul},
title = {{Navigating the Maze of Guidelines to Unify Visualization Design Recommendations (Dagstuhl Seminar 25232)}},
pages = {32--50},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2026},
volume = {15},
number = {6},
editor = {Meyer, Miriah and Quadri, Ghulam Jilani and Rosen, Paul},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.15.6.32},
URN = {urn:nbn:de:0030-drops-255785},
doi = {10.4230/DagRep.15.6.32},
annote = {Keywords: design studies, qualitative evaluation, visualization design, visualization recommendations, visualization system and generative ai}
}