Comments (4)
mcfrank
commented on July 21, 2024
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mahowak
commented on July 21, 2024
This plot shows the problem: SMI seems to return 0 when data from one eye is missing. So naive averaging does the wrong thing in that case.
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yuen-francis
commented on July 21, 2024
Made pull request with sanity check plots and filter codes in import.R for UBC and Gottingen. The issue seems to be only SMI, Tobii and Eyelink seems to process their raw data differently and does not have this problem of having two eyes being inconsistent. In terms of big delta between the two eyes, it seems to be a very small portion of the data, worth creating a trimming code or is it acceptable noise?
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yuen-francis
commented on July 21, 2024
here's what the left Y vs right Y plot for Tobii looks like, which suggests that Tobii isn't having the same problem and their internal averaging process is probably reliable
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Related Issues (20)
- refactor folders into 1a and 1b, adjust file reading script accordingly HOT 1
- Clean up pod.R
- specify experiment_num in import.R files in datasets
- separate outcome & no_outcome conditions in import.R
- add outcome and no_outcome in import R for pilot 1 b data
- Is pilot 1b CEU data misaligned in time? HOT 7
- fix subid HOT 2
- Did something go wrong with exclusions? HOT 10
- AOIs and peekds
- re-factor peek bank scripts for pre-processing files and also create documentation
- add package management
- file storage
- uniqifying participants HOT 1
- check if participants files have all been through MB validator
- Standardising language coding
- Point of disambiguation HOT 1
- AOIs: Top Left vs Bottom Left Origin, Video Resolution HOT 1
- Do we already import pupil diameter? This is important for the spin-off.
- find a way to open .edf raw data files
- Repo Cleanup
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