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Paragon: An Online Gallery for Enhancing Design Feedback with Visual Examples

Talkat CHI 2018 · 2018-04-21..04-26· [design-collaboration]
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Paragon gallery presents a concrete system and two online studies showing that novice reviewers who attach visual examples produce longer, more specific, actionable feedback: study one uses a 24-example corpus, study two runs 124 participants and collects ~400 feedback items (≈4,000 comparator pairs, 160 pairs rated), finding example-supplemented feedback is chosen as higher quality about twice as often while taking more time to produce. The interface supports browsing with Paragon gallery and seven crowd-sourced filters for metadata-driven search.

AI-written summary · about

  1. 0:00Introduction to Paragon
  2. 1:09Related work and motivation
  3. 2:34Research questions and approach
  4. 3:59Study one findings on examples
  5. 6:26Study two design iteration
  6. 7:51Study two methodology
  7. 8:53Study two results on feedback quality
  8. 10:17Filter usage and participant feedback
  9. 11:20Future work and key takeaways
  10. 12:02Q&A session begins
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