Towards a Model for Predicting Intention in 3D Moving-Target Selection Tasks

Abstract : Novel interaction techniques have been developed to address the difficulties of selecting moving targets. However, similar to their static-target counterparts, these techniques may suffer from clutter and overlap, which can be addressed by predicting intended targets. Unfortunately, current predictive techniques are tailored towards static-target selection. Thus, a novel approach for predicting user intention in moving-target selection tasks using decision-trees constructed with the initial physical states of both the user and the targets is proposed. This approach is verified in a virtual reality application in which users must choose, and select between different moving targets. With two targets, this model is able to predict user choice with approximately 71% accuracy, which is significantly better than both chance and a frequentist approach.
Type de document :
Communication dans un congrès
10th International Conference, EPCE 2013, Held as Part of HCI International 2013, Jul 2013, Las Vegas, Nevada, Afghanistan. Springer Berlin Heidelberg, pp.13-22, 2013, 〈10.1007/978-3-642-39360-0_2〉
Liste complète des métadonnées

Littérature citée [21 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-01111100
Contributeur : Compte de Service Administrateur Ensam <>
Soumis le : jeudi 29 janvier 2015 - 15:48:59
Dernière modification le : vendredi 30 janvier 2015 - 01:05:39
Document(s) archivé(s) le : jeudi 30 avril 2015 - 11:15:24

Identifiants

Collections

Citation

Juan Sebastian Casallas, James H. Oliver, Jonathan W. Kelly, Frédéric Merienne, Samir Garbaya. Towards a Model for Predicting Intention in 3D Moving-Target Selection Tasks. 10th International Conference, EPCE 2013, Held as Part of HCI International 2013, Jul 2013, Las Vegas, Nevada, Afghanistan. Springer Berlin Heidelberg, pp.13-22, 2013, 〈10.1007/978-3-642-39360-0_2〉. 〈hal-01111100〉

Partager

Métriques

Consultations de
la notice

69

Téléchargements du document

80