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Block Party: Synchronized Planning and Navigation Views for Neighbourhood Expeditions

Talkat CHI 2017 · 2017-05-06..05-11· [pwa, web-performance]
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Compares Google Maps versus a prototype called Block Party through two 2–2.5 hour field studies with 10 participants per study using a homebuying expedition scenario; Google Maps forces sequential view workflows while Block Party offers synchronized map, list and AR views and explicit multi‑point itinerary support. Block Party users make twice as many annotations, switch views less (median switches 30–33 vs 13), use AR to orient before and approaching targets, and score higher on route, survey and landmark spatial tests.

AI-written summary · about

  1. 0:00Intro
  2. 0:30Whats in the neighborhood
  3. 1:03Planning an itinerary
  4. 1:25Highlevel question
  5. 1:43Comparison with Google Maps
  6. 2:35Neighbourhood Expeditions
  7. 3:01Approach
  8. 3:32Field Study
  9. 3:45Scenario
  10. 4:17Tasks
  11. 4:37Study Tasks
  12. 5:42Workflow
  13. 7:24Block Party
  14. 7:43Supported Views
  15. 9:02What makes Block Party different
  16. 10:38Participants use different views
  17. 11:59Annotations
  18. 13:16Molarity Test
  19. 14:18Future Work
  20. 15:38Conclusion
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