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Understanding Public Evaluation: Quantifying Experimenter Intervention

Talkat CHI 2017 · 2017-05-06..05-11· [design-collaboration]
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Built a playful gesture-controlled display where a user’s silhouette gets a silly hat when performing a silhouette + teapot gesture, deployed under three experimenter roles: steward, overt observer, covert observer. Data sources are overhead video pedestrian tracking, interaction logs and observation notes; baseline captures just over 6,800 passers-by. Conversion rates range ~21–29%, steward presence statistically reduces conversion and compresses standing distance (people stand significantly closer), while covert observation yields higher, more ecologically valid engagement.

AI-written summary · about

  1. 0:00Introduction
  2. 1:01Failure scenarios
  3. 1:20Public spaces
  4. 1:38Challenges
  5. 3:12Main Contributions
  6. 8:46Baseline Data
  7. 9:47Pedestrian Tracking
  8. 11:14Interaction Distance
  9. 12:18Conversion Rate
  10. 14:10Conclusion
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