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Repository for social influence on
1. pain
2. vicarious pain
3. cognitive difficulty

run code from scripts > step01_taskscripts

socialinfluence

pain

vicarious-pain

  1. original dataset

    • UNBC-McMaster Shoulder Pain Expression Archive Database
    • http://www.pitt.edu/~emotion/um-spread.htm
    • Reference: Lucy, P., Cohn, J. F., Prkachin, K. M., Solomon, P., & Matthrews, I. (2011). Painful data: The UNBC-McMaster Shoulder Pain Expression Archive Database. IEEE International Conference on Automatic Face and Gesture Recognition (FG2011)
  2. Newly generated videos (run code as indicated bellow)

    1. Generate high low cue png via create_social_ratings.ipynb
    2. Create videos via create_videos_96frames.py
    3. Select video via McMaster_vicarious_videos.ipynb output: newversion_final_videos.csv
    4. Move created videos via mv_videos.py
    5. Counterbalance python via experimentDev > CounterBalance
  3. Other

    1. publication in CANlab

    2. stimuli in CANlab google drive

cognitive

To Dos

  • Overall: Extract jitters from ABCD code
  • Overall: cue type "high" low"
  • Overall: limit rating to semi-circle
  • Pain: pilot pain stimuli using actual ATS (Aug. 15th)
  • Pain: 4s duration
  • Vicarious: Select new videos. code is in >> social_influence/scripts/experimentDev/create_videos/
  • Vicarious: Identify video scheme
  • Vicarious: Counterbalance re-do. Split videos into two for the two blocks
  • Vicarious: Use one for block 1, use the other for block 2
  • Cognitive: Change cognitive task duration to 4 sec (currently, it is self-paced)
  • Documentation: update code description
  • Documentation: update spatialtopology.github.io

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Social influence on pain, vicarious pain, and cognitive effort

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