Augmented Reality (AR) is one of the enabling technologies of Industry 4.0. It aims to provide information that seamlessly integrates with the physical environment. In the industrial context, AR plays an important role in combining real and virtual assets, particularly in complex maintenance and assembly procedures. Industrial Augmented Reality (IAR) facilitates technical communication by offering spatially aligned information and instructions linked to real objects. Consequently, IAR enriches the physical environment with supplementary information that surpasses what is naturally present, resulting in reduced cognitive load for workers compared to traditional paper-based procedures. While numerous methods have been proposed to generate visual assets for IAR interfaces, the literature lacks agreement on the most effective approach for delivering AR instructions. Therefore, the main goal of this dissertation is to establish comprehensive guidelines for creating the next-generation IAR Technical Documentation (TD). The research project aims to provide clear recommendations for optimizing the presentation of instructions within an industrial context, specifically focusing on assessing the tangible economic benefits AR can bring to companies. The findings of this dissertation show that this optimization not only enhances operators' performance by providing them with more easily understandable information but also reduces developers’ computational costs for companies in terms of programming and 3D modeling. Finally, by following the provided guidelines, companies can streamline the authoring process of Augmented Reality Technical Documentation (ARTD), even for technical writers who are not particularly skilled in AR.

Optimization of augmented reality interfaces for technical documentation / Laviola, Enricoandrea. - ELETTRONICO. - (2023). [10.60576/poliba/iris/laviola-enricoandrea_phd2023]

Optimization of augmented reality interfaces for technical documentation

Laviola, Enricoandrea
2023-01-01

Abstract

Augmented Reality (AR) is one of the enabling technologies of Industry 4.0. It aims to provide information that seamlessly integrates with the physical environment. In the industrial context, AR plays an important role in combining real and virtual assets, particularly in complex maintenance and assembly procedures. Industrial Augmented Reality (IAR) facilitates technical communication by offering spatially aligned information and instructions linked to real objects. Consequently, IAR enriches the physical environment with supplementary information that surpasses what is naturally present, resulting in reduced cognitive load for workers compared to traditional paper-based procedures. While numerous methods have been proposed to generate visual assets for IAR interfaces, the literature lacks agreement on the most effective approach for delivering AR instructions. Therefore, the main goal of this dissertation is to establish comprehensive guidelines for creating the next-generation IAR Technical Documentation (TD). The research project aims to provide clear recommendations for optimizing the presentation of instructions within an industrial context, specifically focusing on assessing the tangible economic benefits AR can bring to companies. The findings of this dissertation show that this optimization not only enhances operators' performance by providing them with more easily understandable information but also reduces developers’ computational costs for companies in terms of programming and 3D modeling. Finally, by following the provided guidelines, companies can streamline the authoring process of Augmented Reality Technical Documentation (ARTD), even for technical writers who are not particularly skilled in AR.
2023
industrial augmented reality; authoring; minimal information; visual asset; work instruction; industrial operator support
Optimization of augmented reality interfaces for technical documentation / Laviola, Enricoandrea. - ELETTRONICO. - (2023). [10.60576/poliba/iris/laviola-enricoandrea_phd2023]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/263381
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