Human-Computer Interaction

INTERACT 2015: Human-Computer Interaction – INTERACT 2015 pp 148-155 | Cite as

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

  • Alexandre Kouyoumdjian
  • Nicolas Férey
  • Patrick Bourdot
  • Stéphane Huot
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9299)

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.

Keywords

Pointing Picking Mobile targets Selection 

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Copyright information

© IFIP International Federation for Information Processing 2015

Authors and Affiliations

  • Alexandre Kouyoumdjian
    • 1
  • Nicolas Férey
    • 1
  • Patrick Bourdot
    • 1
  • Stéphane Huot
    • 2
  1. 1.Venise - LIMSI/CNRSOrsayFrance
  2. 2.INRIALilleFrance

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