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Stabilized Annotations for Mobile Remote Assistance

Talkat CHI 2016 · 2016-05-07..05-12· [developer-experience]
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name:Kevin Ta
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Compares anchored stabilized annotations (AR targets) with non‑stabilized overlays across tablets and head‑mounted displays, running two user studies (16 pairs first study, 6 pairs second). Finds stabilized annotations are preferred but not faster, and 61% of marks are ephemeral—mostly procedural and pointers—so a simple freeze-frame (F2)—freezing video for two seconds while drawing—is easy to implement and surprisingly effective, though it causes temporary loss of context that can be mitigated with a live thumbnail.

AI-written summary · about

  1. 0:00Introduction
  2. 0:30Problem Statement
  3. 3:38Commodity Technologies
  4. 4:11Device Configuration
  5. 4:44Annotation Systems
  6. 5:22Task Factors
  7. 7:21User Studies
  8. 9:41Classification
  9. 9:53Reference
  10. 10:12Procedural
  11. 10:25Pointer
  12. 10:38Distribution
  13. 10:56Summary
  14. 11:17Stabilized Annotations
  15. 11:38Freeze Frame Annotation
  16. 11:58Study Question
  17. 13:07Pros
  18. 13:51Summarize
  19. 14:13Takeaway
  20. 14:23Questions
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