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CHI
2011
ACM

Modeling and predicting pointing errors in two dimensions

12 years 7 months ago
Modeling and predicting pointing errors in two dimensions
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.
Jacob O. Wobbrock, Alex Jansen, Kristen Shinohara
Added 25 Aug 2011
Updated 25 Aug 2011
Type Journal
Year 2011
Where CHI
Authors Jacob O. Wobbrock, Alex Jansen, Kristen Shinohara
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