Using relative head and hand-target features to predict intention in 3D moving-target selection
dc.contributor.author | CASALLAS, Juan Sebastian |
dc.contributor.author | OLIVER, James H. |
dc.contributor.author | KELLY, Jonathan W. |
dc.contributor.author
hal.structure.identifier | MERIENNE, Frédéric
|
dc.contributor.author | GARBAYA, Samir |
dc.date.accessioned | 2015 |
dc.date.available | 2015 |
dc.date.issued | 2014 |
dc.date.submitted | 2014 |
dc.identifier.isbn | 978-1-4799-2871-2 |
dc.identifier.uri | http://hdl.handle.net/10985/9417 |
dc.description.abstract | Selection of moving targets is a common, yet complex task in human-computer interaction (HCI) and virtual reality (VR). Predicting user intention may be beneficial to address the challenges inherent in interaction techniques for moving-target selection. This article extends previous models by integrating relative head-target and hand-target features to predict intended moving targets. The features are calculated in a time window ending at roughly two-thirds of the total target selection time and evaluated using decision trees. With two targets, this model is able to predict user choice with up to ~ 72% accuracy on general moving-target selection tasks and up to ~ 78% by also including task-related target properties. |
dc.language.iso | en |
dc.publisher | IEEE |
dc.rights | Post-print |
dc.subject | User interfaces |
dc.subject | Interaction styles |
dc.subject | Virtual reality |
dc.subject | Accuracy |
dc.subject | Decision trees |
dc.subject | Human computer interaction |
dc.subject | Predictive models |
dc.subject | Solid modeling |
dc.subject | Three-dimensional displays |
dc.title | Using relative head and hand-target features to predict intention in 3D moving-target selection |
dc.identifier.doi | 10.1109/VR.2014.6802050 |
dc.typdoc | Communication avec acte |
dc.localisation | Institut de Chalon sur Saône |
dc.subject.hal | Informatique: Interface homme-machine |
dc.subject.hal | Informatique: Synthèse d'image et réalité virtuelle |
ensam.audience | Internationale |
ensam.conference.title | IEEE Virtual Reality |
ensam.conference.date | 2014-03-29 |
ensam.country | Etats-Unis |
ensam.title.proceeding | IEEE Virtual Reality |
ensam.page | 51-56 |
ensam.city | Minneapolis, Minnesota |
hal.identifier | hal-01133927 |
hal.version | 1 |
hal.status | accept |