Characterizing the Influence of Motion Parameters on Performance when Acquiring Moving Targets - Archive ouverte HAL Access content directly
Conference Papers Year : 2015

Characterizing the Influence of Motion Parameters on Performance when Acquiring Moving Targets

(1) , (1) , (1) , (2)
1
2

Abstract

Current pointing techniques provide no adequate way to select very small objects whose movements are fast and unpredictable, and theoretical tools –such as Fitts' law– do not model unpredictable motion. To inform the design of appropriate selection techniques, we studied how users performed when selecting moving objects in a 2D environment. We propose to characterize selection performance as a function of the predictability of the moving targets, based on three parameters: the speed (S) of the target, the frequency (F) at which the target changes direction, and the amplitude (A) of those direction changes. Our results show that for a given speed, selection is relatively easy when A and F are both low or high, and difficult otherwise.
Fichier principal
Vignette du fichier
moving_targets_HAL.pdf (726.38 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01207511 , version 1 (01-10-2015)

Licence

Attribution - CC BY 4.0

Identifiers

Cite

Alexandre Kouyoumdjian, Nicolas Ferey, Patrick Bourdot, Stéphane Huot. Characterizing the Influence of Motion Parameters on Performance when Acquiring Moving Targets. 15th Human-Computer Interaction (INTERACT), Sep 2015, Bamberg, Germany. pp.148-155, ⟨10.1007/978-3-319-22723-8_12⟩. ⟨hal-01207511⟩
180 View
148 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More