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Extracting data quality measures from raw gaze data #870

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romajaku opened this issue Oct 23, 2024 · 0 comments
Open

Extracting data quality measures from raw gaze data #870

romajaku opened this issue Oct 23, 2024 · 0 comments
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enhancement New feature or request

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@romajaku
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Description of the problem

There is a need for more precise data quality measures to be extracted from a data frame of raw data. This should include such measures as:

  • proportion of data loss: proportion of missing values, proportion of pupil loss both for individual trials and globally per participant
  • proportion of unclassified gaze events (neither saccades, nor fixations)
  • average ratio of samples on non-AOIs vs. on AOIs over all sessions
    These measures will be saved as a csv file and used by Filter Interface and EyeStore

Description of a solution

  • A function will be added to gaze (probably) that takes a data frame calculates the relevant measures.
  • The function will return a dictionary of measure names and values.
  • Maybe it'll save it as a csv file

Minimum acceptance criteria

Since the measures involving AOIs cannot be implemented before AOIs are properly extracted, I think maybe it would make sense to close the ticket once we have the proportion of data loss measured.

@romajaku romajaku added the enhancement New feature or request label Oct 23, 2024
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