Hook: Heuristics for Selecting 3D Moving Objects in Dense Target Environments

Michael Ortega (1)

1 IIHM - Ingénierie de l’Interaction Homme-Machine

This paper presents Hook, a new interaction technique for selecting moving targets. As opposed to existing techniques, Hook uses heuristic methods. It allows pointing in dense 3D environments, and on targets moving with high velocity. Moreover, Hook minimizes the impact of its visual feedback for maintaining user's interaction comfort. Two adaptations of Hook for 2 dof (degrees-of-freedom) and 3 dof interaction for 3D environments have been evaluated. Results clearly show that Hook outperforms the existing methods in pointing time and error rates, for fast and slow targets, in the two configurations. All the participants confirmed the expected feeling with regards to ease of use.

Mots clés: 3D interaction; Selection; Moving Targets

Domaines: Environnements Informatiques pour l'Apprentissage Humain; Education

Michael Ortega. Hook: Heuristics for Selecting 3D Moving Objects in Dense Target Environments. 3DUI 2013 - IEEE 8th Symposium on 3D User Interfaces, Mar 2013, Orlando, FL, United States. pp.119-122, ⟨10.1109/3DUI.2013.6550208⟩. ⟨hal-00871567⟩