Calibration Methods of Touch-Point Ambiguity for Finger-Fitts Law
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Finger-Fitts law (FFitts law) is a model to predict touch-pointing times that was modified from Fitts' law. It considers the absolute touch-point precision, or a finger tremor factor sigma_a, to decrease the admissible target area and thus increase the task difficulty. Among choices such as running an independent task or performing parameter optimization, there is no consensus on the best methodology to measure sigma_a. By integrating the results of our 1D and 2D touch-pointing experiments and reanalyses of previous studies' data, we examined the advantages and disadvantages of each approach to compute sigma_a, and we found that there is no optimal choice to maximize the prediction accuracy of FFitts law.
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