Memory Guided Saccade Error Calculator

Actual matched memory-guided saccade endpoint minus remembered target angular errors; signed discrepancies retained. Task, coordinate and calibration external, not memory diagnosis or generic eye tracking accuracy.

Description

Memory-guided saccade error compares a measured endpoint with its remembered target coordinate.

Memory-guided saccade error compares a measured endpoint with its remembered target coordinate.^[1]

Signed error and mean absolute error preserve different information.

When to use Memory Guided Saccade Error Calculator

Use this tool to calculate or review the supplied observations under the stated rules. Establish the assessment or recording protocol, units, instrument version and independently applicable reference or calibration.

How to use Memory Guided Saccade Error Calculator and understand its results

Establish the assessment or recording protocol, units, instrument version and independently applicable reference or calibration.
Enter independentlyMeasuredSaccadeEndpointsDegrees, matchedRememberedTargetAnglesDegrees, using the field meanings and rules below, then run the tool.
Read result.signedMemoryGuidedEndpointErrorsDegrees, result.observedMeanAbsoluteErrorDegrees. Use the units and sign conventions below.
Correct any reported input issue and run again. Before using a successful result, check the stated units, signs, reference scope and observation coverage.

Input field	Meaning	Value type	Requirement
independentlyMeasuredSaccadeEndpointsDegrees	Independently measured saccade endpoints degrees	list of number	Required
matchedRememberedTargetAnglesDegrees	Matched remembered target angles degrees	list of number	Required

Require nonempty aligned finite endpoint and remembered-target angles in degrees. Subtract target from endpoint for each trial and average the absolute errors. No circular wrapping or vector-direction correction is applied.

signedErrorDegrees_i=endpoint_i−target_i; meanAbsoluteError=mean(abs(errors))

Use the matching field units and the exact boundary, ordering and reference rules above.

Output field	Meaning	Value type
result	Structured result; its nested fields below contain the actual calculation or selected reference	object
result.signedMemoryGuidedEndpointErrorsDegrees	Signed Memory Guided Endpoint Errors Degrees; preserve the subtraction order and sign defined in the mechanics	list
result.observedMeanAbsoluteErrorDegrees	Observed Mean Absolute Error Degrees	number

json

{
  "input": {
    "independentlyMeasuredSaccadeEndpointsDegrees": [
      9,
      12
    ],
    "matchedRememberedTargetAnglesDegrees": [
      10,
      10
    ]
  },
  "output": {
    "result": {
      "signedMemoryGuidedEndpointErrorsDegrees": [
        -1,
        2
      ],
      "observedMeanAbsoluteErrorDegrees": 1.5
    }
  }
}

Limitations and assumptions

Actual acquisition, assessment protocol, instrument version and calibration determine applicability. The tool does not examine a person, classify images, administer a questionnaire or choose diagnostic cutoffs.

Missing required fields, unknown fields, wrong types and violated rules return input issues. Numeric values and outputs must be finite. Lists and matrices must be dense, without missing cells. Numeric lists allow at most 10000 entries; ordinary string lists allow at most 128 strings of 128 UTF-16 units each; numeric matrices allow at most 128 rows and 128 columns, subject to narrower requirements above. Extremely large composite outputs are rejected.

Alternative or Complementary methods

For a related step, use Saccadic Intrusion Rate Calculator: Saccadic-intrusion rate standardizes independently counted events by valid observation time. For a complementary comparison, use Operation Span Score Calculator: Operation span combines serial-position recall with a separately measured processing task.

References

Memory Guided Saccade Error Calculator — tool.io

Similar or alternative tools

Saccadic Intrusion Rate Calculator
Saccadic-intrusion rate standardizes independently counted events by valid observation time.
Operation Span Score Calculator
Operation span combines serial-position recall with a separately measured processing task.