~/talk

Considering Agency and Data Granularity in the Design of Visualization Tools

Talkat CHI 2018 · 2018-04-21..04-26· [data-visualization]
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Comparing hands-on Evolver and attribute-driven Tableau through workshops yields 17 unique ideas grouped into eight types and three solution families: automated iteration, collective proxy objects, and automated principle design. The paper builds a two‑axis design space — agency (who makes choices) versus granularity (values, attributes, tables, visuals) — and maps tools like Voyager and Watson Analytics onto it, showing concrete trade-offs and practical strategies for scaling bottom‑up visual authoring without losing transparency.

AI-written summary · about

  1. 0:00Introduction
  2. 0:30Motivation
  3. 3:44Research Question
  4. 9:21Design Space
  5. 12:07Implications
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