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Sélection de cibles en mouvement : contexte, modèles, et paradigmes d'aide à la sélection

Abstract : The selection of moving targets has received little attention in the literature, as the factors that influence motion are numerous and complex. Though models such as Fitts’ Law can estimate selection time for static targets, they fail to do so for moving ones, and the influence of a target’s movements on its associated selection performance remains to be determined. Here we propose a state of the art of moving target selection techniques, a taxonomy thereof, as well as a classification of moving targets and their environments. We propose a model for the description and generation of movement, a use it to extract essential motion parameters from moving targets, in order to estimate their selection difficulty. This model (SFA) includes speed (S), the period between each change in direction and its associated frequency (F), as well as the maximum angular amplitude of these changes (A).Thanks to the SFA model, we measured the influence of these parameters on selection performance, the subjective impressions of users, and their anticipation strategies. These results led us to look for SFA dependent criteria, such as the area of the target’s trajectory’s convex hull over a given period of time, which can predict selection performance. We note that Fitts’s distance has little influence on selection performance for quick, unpredictable moving targets, and validate our estimate of selection performance by showing that this estimate can be used to improve selection performance by adjusting the size of targets accordingly, or by using it to bias an intention prediction heuristic. We also assess the benefits of pseudo-haptic assistance coupled with intention prediction, and show that it depends on the speed accuracy trade-off chosen by a given user. We finally show that a technique based on the manual elimination of distractors running concurrently with intention prediction allows for excellent selection performance, and drastically reduced physical effort. We conclude by offering advice on the design of new selection techniques that would be better suited to moving targets.
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Submitted on : Monday, June 24, 2019 - 10:40:17 AM
Last modification on : Monday, December 14, 2020 - 9:52:05 AM


Version validated by the jury (STAR)


  • HAL Id : tel-02163235, version 1



Alexandre Kouyoumdjian. Sélection de cibles en mouvement : contexte, modèles, et paradigmes d'aide à la sélection. Interface homme-machine [cs.HC]. Université Paris-Saclay, 2018. Français. ⟨NNT : 2018SACLS606⟩. ⟨tel-02163235⟩



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