Towards a Model for Predicting Intention in 3D Moving-Target Selection Tasks
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 | 2013 |
dc.date.submitted | 2014 |
dc.identifier.isbn | 978-3-642-39359-4 |
dc.identifier.uri | http://hdl.handle.net/10985/9289 |
dc.description.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. |
dc.language.iso | en |
dc.publisher | Springer Berlin Heidelberg |
dc.rights | Post-print |
dc.subject | User intention |
dc.subject | Prediction |
dc.subject | Fitts’ Law |
dc.subject | Moving-target selection |
dc.subject | Perceived difficulty |
dc.subject | Decision trees |
dc.subject | Virtual reality |
dc.title | Towards a Model for Predicting Intention in 3D Moving-Target Selection Tasks |
dc.identifier.doi | 10.1007/978-3-642-39360-0_2 |
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 | 10th International Conference, EPCE 2013, Held as Part of HCI International 2013 |
ensam.conference.date | 2013-07-21 |
ensam.country | Afghanistan |
ensam.title.proceeding | Engineering Psychology and Cognitive Ergonomics. Understanding Human Cognition |
ensam.page | 13-22 |
ensam.city | Las Vegas, Nevada |
hal.identifier | hal-01111100 |
hal.version | 1 |
hal.status | accept |