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Jorge Miquel Rodriguez

Researcher at University of Navarra

Publications -  7
Citations -  573

Jorge Miquel Rodriguez is an academic researcher from University of Navarra. The author has contributed to research in topics: Virtual reality & Augmented reality. The author has an hindex of 5, co-authored 7 publications receiving 435 citations. Previous affiliations of Jorge Miquel Rodriguez include Technion – Israel Institute of Technology.

Papers
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Journal ArticleDOI

Evaluating virtual reality and augmented reality training for industrial maintenance and assembly tasks

TL;DR: The results suggest thatUse of the AR platform for training IMA tasks should be encouraged and use of the VR platform for that purpose should be further evaluated.
Journal ArticleDOI

Design Guidelines for the Development of Virtual Reality and Augmented Reality Training Systems for Maintenance and Assembly Tasks

TL;DR: Design guidelines for the development of Virtual Reality (VR) and Augmented Reality (AR) platforms to train technicians on maintenance and assembly tasks of industrial machineries to develop a useful mental model of the task are described.
Book ChapterDOI

Training of Procedural Tasks Through the Use of Virtual Reality and Direct Aids

TL;DR: A high percentage of the human activities are based on procedural tasks, for example cooking a cake, driving a car, fixing a machine, etc and most researchers agree that procedural tasks are learnt gradually as a result of practice through repeating exposures to the task.
Journal ArticleDOI

Transfer of Skills Evaluation for Assembly and Maintenance Training

TL;DR: In this article, two different training platforms, one based on Virtual Reality (VR) and the other one on Augmented Reality (AR), were used for industrial maintenance and assembly (IMA) tasks.
Proceedings ArticleDOI

Training strategies for learning a 3D trajectory with accuracy

TL;DR: The results suggest that the best learning condition for learning a 3D trajectory with accuracy is to provide visual-haptic feedback, which facilitates the understanding of the dimension and orientation of each trajectory segment and solves any visual discrepancies that may exist.