~/talk

Unakite: Scaffolding Developers' Decision-Making Using the Web

on YouTube 18m
Talkat UIST 2019 · 2019-10-20..10-23· [developer-experience]

speakers

name:Michael Xieyang Liu
links:none on file
name:Jane Hsieh
links:none on file
name:Nathan Hahn
links:none on file
name:Angelina Zhou
links:none on file
name:Emily Deng
links:none on file
name:Shaun Burley
links:none on file
name:Cynthia Taylor
links:none on file
name:Aniket Kittur
links:none on file
name:Brad A. Myers
links:none on file

resources

video:https://youtu.be/UMQ-kWgmbQ4
slides:none on file

summary

A Chrome extension named Unakite captures selected web content as preserved HTML, organizes it into an option–criterion evidence comparison table via a right‑side sidebar and drag‑and‑drop into a snippet repository, and exposes tables as shareable web URLs. Lab studies (20 authors, 16 readers) show a ~45% reduction in authoring overhead and roughly a threefold faster time for readers to understand prior decisions. Current limits: no criterion weighting and single‑user workflows.

AI-written summary · about

chapters (12)

  1. 0:00Introduction to Unakite
  2. 1:11Problem with programming decisions
  3. 2:57Formative study findings
  4. 4:42Stack Overflow trade-off analysis
  5. 5:24Unakite design goals
  6. 7:10Lightweight interactions in Unakite
  7. 9:15Summarization features
  8. 10:42Contextualization and sharing
  9. 11:22User study on table authoring
  10. 13:13Study on decision understanding
  11. 14:15Limitations and future work
  12. 14:59Conclusion and Q&A

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