Benchmarking Pointing Techniques with Distractors: Adding a Density Factor to Fitts' Pointing Paradigm

Renaud Blanch 1, * Michael Ortega 2
* Corresponding author
1 LIG Laboratoire d'Informatique de Grenoble - IIHM
LIG - Laboratoire d'Informatique de Grenoble, Inria - Institut National de Recherche en Informatique et en Automatique
2 MeTAH
LIG - Laboratoire d'Informatique de Grenoble
Abstract : Fitts' pointing paradigm is widely used to conduct controlled experiments and to evaluate new interaction techniques enhancing target acquisition. Many of them change the behavior of the cursor according to various inputs, most notably the positions of potential targets. We propose to extend Fitts' paradigm in order to challenge those techniques with distractors (i.e., potential targets which are not the goal of the user) in a controlled manner. To reduce variability, we add a single new factor to the paradigm, the distractor density. We specify a distractors distribution, fully determined by this factor together with those of Fitts' task, aimed at reducing bias toward a specific technique. We also propose a preliminary extension of Fitts' law to take account of the sensitivity to the density of distractors as well as of the task difficulty. In an experiment, we compare five existing pointing techniques, and show that this extended protocol enables contrasted comparisons between them.
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Renaud Blanch, Michael Ortega. Benchmarking Pointing Techniques with Distractors: Adding a Density Factor to Fitts' Pointing Paradigm. CHI 2011 - Conference on Human Factors in Computing Systems, May 2011, Vancouver, BC, Canada. pp.1629-1638, ⟨10.1145/1978942.1979180⟩. ⟨hal-00758374⟩

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