~/talk

WearMail: On-the-Go Access to Information in Your Email with a Privacy-Preserving Human ...

on YouTube 14m
Talkat UIST 2017 · 2017-10-22..10-25· [privacy-and-compliance]

speakers

name:Saiganesh Swaminathan
links:none on file
name:Raymond Fok
links:none on file
name:Fanglin Chen
links:none on file
name:Ting-Hao (Kenneth) Huang
links:none on file
name:Irene Lin
links:none on file
name:Rohan Jadvani
links:none on file
name:Walter S. Lasecki
links:none on file
name:Jeffrey P. Bigham
links:none on file

resources

video:https://youtu.be/feS8eJFgIRE
slides:none on file

summary

WearMail provides a conversational watch and phone interface that retrieves specific items from personal email by recruiting crowd workers who never see raw content but instead generate obfuscated filters and example-based extractors. A user study of 200 search logs finds 250 long‑tail query types; an obfuscation experiment (24 queries, 10 workers each) shows 1000 words → ~80–100% email‑locating accuracy. Extraction builds web‑sourced regexes; in a 20‑item extraction test 59% return the correct item first and 35% second.

AI-written summary · about

chapters (9)

  1. 0:00Introduction to WearMail
  2. 2:22Problem with current assistants
  3. 3:27Privacy-preserving workflow
  4. 5:56Obfuscated metadata study
  5. 7:40Crowd programming extraction
  6. 9:47System performance evaluation
  7. 11:40Limitations and errors
  8. 12:22Summary and contributions
  9. 13:06Q&A session

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