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Related Experiment Videos

Absolute error revisited: an accuracy indicator in disguise.

J A Spray1

  • 1American College Testing Program, Iowa City, IA 52243, USA.

Journal of Motor Behavior
|June 1, 1986
PubMed
Summary

The composite error measure, AE (angular error), is a strong indicator of target accuracy. AE is preferable to E (error) for analyzing accuracy differences and guiding further bias and variability assessments.

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Area of Science:

  • Human-Computer Interaction
  • Motor Control
  • Experimental Psychology

Background:

  • Evaluating performance in accuracy tasks is crucial for understanding user interaction and motor skills.
  • Traditional error measures may not fully capture the nuances of target accuracy.
  • Composite error measures offer a more comprehensive assessment of performance.

Purpose of the Study:

  • To assess the efficacy of composite error measures, E and AE, as indicators of target accuracy.
  • To compare the relative strengths of AE and E in predicting target accuracy.
  • To determine the optimal measure for initial analysis of accuracy differences.

Main Methods:

  • Defined target accuracy as the probability of responding within a fixed distance of the target.
  • Analyzed the composite error measures E and AE in relation to target accuracy.
  • Compared the performance of AE and E as accuracy indicators across various requirements.

Main Results:

  • Both E and AE are strong relative indicators of target accuracy.
  • AE demonstrates superior performance as an accuracy indicator compared to E under most conditions.
  • AE possesses advantageous properties for Analysis of Variance (ANOVA) procedures.

Conclusions:

  • AE is recommended as a primary composite measure for evaluating target accuracy.
  • Analyzing AE first can effectively identify differences in target accuracy.
  • Subsequent analyses of bias and variability should follow AE-based accuracy assessments.

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