The state of AI-assisted data visualization research
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Initial public edition integrating the research synthesis, shared capability timeline, benchmark evidence, technique comparisons, demonstrated negatives, and research gaps.
Publication history
Every report and visual experience retains its own dated history. This page gathers those records so changes can be scanned across the package. Entries are newest first; a publication change does not move the underlying evidence cutoff unless the record says so.
Initial public edition integrating the research synthesis, shared capability timeline, benchmark evidence, technique comparisons, demonstrated negatives, and research gaps.
Initial public edition mapping practitioner jobs, tool choices, creator experience, delivery failures, reader reactions, and open evidence gaps.
Initial public edition defining the ideal state, present scorecards, historical reconstruction, contextual endpoints, and forecast movements with direct evidence links.
Added canonical URLs for every published node and an explicit navigation action in the selected-node detail panel.
Initial public edition mapping the reports, argument components, reader routes, evidence spine, and missing bridges.
Initial public edition mapping audiences, decision products, useful routes, publication gates, and evidence of actual use.
Added selective emphasis to the load-bearing conclusions and linked claims to the relevant visual experiences and deep-dive reports.
Condensed the research, practitioner, human-skills, learning, agent-skill, specialized-vision, and forecasting work into one decision-oriented summary.
Established the contextual goals typology, literature synthesis, technique history, benchmark timeline, convergence and divergence findings, demonstrated negatives, and research gap ledger.
Mapped practitioner jobs and tool choices, synthesized creator and reader accounts, and separated possible output, accomplished work, delivery, and lived outcome.
Defined the ideal-state dimensions, fixed maturity rubric, August 2026 field assessment, historical reconstruction, contextual endpoints, and forecast score movements.
Crosswalked generation, execution, semantic, perceptual, integrity, interaction, and human-outcome evaluations to their supported claims and important nonclaims.
Cataloged agent skill packages, adoption signals, recurring techniques, evaluation evidence, likely failure modes, and an ordered ablation program.
Compared six specialist vision roles, recent models and benchmarks, same-test gains, transfer failures, critic authority, and routing experiments.
Defined the human capability profile, separated seven kinds of banked gain, and assessed which gains are observed for novices, intermediate practitioners, and experts.
Assessed what AI makes easier to learn, which productive difficulties still matter, how practice should be reallocated, and which transfer evidence remains missing.
Converted remaining capability gaps into measurable gates, separated model-driven from technique-driven gains, and recorded dated forecasts, signposts, falsifiers, and score movements.
Defined audience routes, decision products, evidence boundaries, publication gates, and an outcome-oriented rollout sequence.
Defined the comprehensive report and non-linear essay renderings, content ownership, shared evidence spine, complete table of contents, and underbuilt bridges.