Modeling and predicting pointing errors in two dimensions

  • Wobbrock J
  • Jansen A
  • Shinohara K
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Abstract

Recently, Wobbrock et al. (2008) derived a predictive model of pointing accuracy to complement Fitts’ law’s predictive model of pointing speed. However, their model was based on one-dimensional (1-D) horizontal movement, while applications of such a model require two dimensions (2-D). In this paper, the pointing error model is investigated for 2-D pointing in a study of 21 participants performing a time-matching task on the ISO 9241-9 ring-of-circles layout. Results show that the pointing error model holds well in 2-D. If univariate endpoint deviation (SDx) is used, regressing on N=72 observed vs. predicted error rate points yields R2=.953. If bivariate endpoint deviation (SDx,y) is used, regression yields R2=.936. For both univariate and bivariate models, the magnitudes of observed and predicted error rates are comparable.

Author-supplied keywords

  • Fitts’ law
  • Pointing error model
  • error prediction
  • error rates.
  • metronome
  • movement time

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Authors

  • JO Wobbrock

  • Alex Jansen

  • Kristen Shinohara

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