interpolate_looks: AOI-based gaze interpolation
In tjmahr/littlelisteners: Helper Functions for Hand-coded Eyetracking Data

Fills in windows of missing data if the same AOI is fixated at beginning and end of the missing data window. For example, the sequence "Target", NA, NA, "Target" would be interpolated to be "Target", "Target", "Target", "Target".

interpolate_looks(
  x,
  window,
  fps,
  response_col,
  interp_col,
  fillable,
  missing_looks
)

`x`	a dataframe of grouped eyetracking data. Each row should be a single frame of eyetracking. Use `dplyr::group_by()` to set the grouping columns for the data. The groups should specify a single trial of eyetracking data.
`window`	maximum amount of missing data (milliseconds) that can be interpolated. Only spans of missing data with less than or equal to this duration will be interpolated
`fps`	number of eyetracking frames (dataframe rows) per second
`response_col`	name of the column with the eyetracking response data
`interp_col`	name of a column to add to the dataframe. This column records whether each frame was interpolated (TRUE) or not (FALSE)
`fillable`	values in the response column where interpolation is legal. These would typically be AOI locations.
`missing_looks`	values that can be imputed

Use window to constrain the duration of missing data windows that can be filled. We conventionally use 150ms because we would not expect someone to shift their gaze from Image A to Image B to Image A in that amount of time.

tjmahr/littlelisteners documentation built on June 3, 2021, 2:10 p.m.