Multimodal Training of Maintenance and Assembly Skills Based on Augmented Reality.
Technische Universität, Darmstadt
[Ph.D. Thesis], (2012)
Available under Creative Commons Attribution Non-commercial No Derivatives, 2.5.
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|Item Type:||Ph.D. Thesis|
|Title:||Multimodal Training of Maintenance and Assembly Skills Based on Augmented Reality|
The main goal of this work is to provide an efficient multimodal training platform for improving technicians’ maintenance and assembly skills in order to accelerate their acquisition process of new maintenance and assembly tasks. A concept for multimodal Augmented Reality based training of maintenance skills has been developed which fulfils the requirements of efficient training. The work presents results of interdisciplinary research based on the fusion of cognitive science and computer science in the field of maintenance and assembly training. To overcome limitations of existing approaches, the work addresses the combined training of both sensorimotor and cognitive skills by exploiting the potential of Augmented Reality technologies and multimodal interfaces. Novel concepts and techniques for visual augmentation have been developed in order to improve the visual feedback for the user and to cope with problems caused by tracking inaccuracies. This work also provides key elements (guidelines) of maintenance skill training, called Accelerators, which can be transferred to any procedural training task. It is shown how such a multimodal Augmented Reality environment providing on-the-job training can be implemented based on a standard for real-time 3D communication (X3D ISO standard). In the focus of this work is the presentation component of the training system, that is, the multimodal presentation of feedback to the trainee, whereby amount and type of feedback can depend on captured input data. The developed concept includes the possibility to easily adapt the training system to different training conditions in order to support various phases of a training program and trainees at various skill levels. Furthermore, the system is able to reuse existing reliable training material. In addition, the generation of new training task scenarios is simplified in comparison to existing training systems.
|Place of Publication:||Darmstadt|
|Classification DDC:||000 Allgemeines, Informatik, Informationswissenschaft > 004 Informatik|
|Divisions:||20 Department of Computer Science > Interactive Graphics Systems|
|Date Deposited:||11 Jan 2012 10:04|
|Last Modified:||07 Dec 2012 12:04|
|Referees:||Fellner, Prof. Dr. Dieter W. and Hirzinger, Prof. Dr.- Gerhard|
|Refereed:||7 December 2011|