Shipbuilding companies are upgrading their inner workings in order to create Shipyards 4.0, where the principles of Industry 4.0 are paving the way to further digitalized and optimized processes in an integrated network. Among the different Industry 4.0 technologies, this paper focuses on augmented reality, whose application in the industrial field has led to the concept of industrial augmented reality (IAR). This paper first describes the basics of IAR and then carries out a thorough analysis of the latest IAR systems for industrial and shipbuilding applications. Then, in order to build a practical IAR system for shipyard workers, the main hardware and software solutions are compared. Finally, as a conclusion after reviewing all the aspects related to IAR for shipbuilding, it proposed an IAR system architecture that combines cloudlets and fog computing, which reduce latency response and accelerate rendering tasks while offloading compute intensive tasks from the cloud.

A Review on Industrial Augmented Reality Systems for the Industry 4.0 Shipyard

Augmented Reality interfaces increasingly utilize artificial intelligence systems to tailor content and experiences to the user. We explore the effects of one such system - a recommender system for online shopping - which allows customers to view personalized product recommendations in the physical spaces where they might be used. We describe results of a 2x3 condition exploratory study in which recommendation quality was varied across 3 user interface types. Our results highlight potential differences in user perception of the recommended objects in an AR environment. Specifically, users rate product recommendations significantly higher in AR and in a 3D browser interface, and show a significant increase in trust in the recommender system, compared to a web interface with 2D product images. Through semi-structured interviews, we gather participant feedback which suggests AR interfaces perform better due to their ability to view products within the physical context where they will be used.

A Study of Situated Product Recommendations in Augmented Reality

Over the years, technology has revolutionized our world and the utilization of advanced technologies in any industry has recorded better results. The usability of cutting-edge technologies in the teaching-learning process is redefining the role of educators and reshaping learning experiences. Augmented Reality (AR), a technology that augments the real world with realistic virtual information, in various form of multimedia content, provides new possibilities for the educational domain. The information delivery with Augmented Reality (AR) engages most of the sensory channels that intensifies the effectiveness of teaching-learning process and creates a more appealing learning environment. This paper, with the discussion of the AR Globe project, aims to provide an introduction to the Augmented Reality (AR) technologyâ€™s implementation into real-life environment, to assess the potential of the technology in educational settings by outlining the attitude of learners towards the use of immersive multimedia content in their learning mediums. https://doi.org/10.26803/ijlter.18.3.1

https://www.ijlter.org/index.php/ijlter/article/download/1380/pdf

Augmented Reality in Education, AR Globe Project Assessment in Actual Teaching-Learning Environment

The purpose of the present study is to investigate the effect of Augmented Reality emerging technology into teaching-learning process. Augmented Reality, a technology that delivers information in form of text, audio, visual and 3D animated data engages learner's visual, auditorily, and kinesthetic learning styles. In this study "AR Globe" project is proposed to reveal learners attitude towards AR content integration into existing learning environment that can enhance learner's VAK learning styles.

Implementation of Augmented Reality Globe in Teaching-Learning Environment

The trend of harnessing AR-based data has started breeding novel and enriching applications. Though the AR-based apps have been in existence for a long time, its true potential in digital marketing domain has been not exploited yet. In this paper, we bridge this gap through creating a novel consumer targeting system. First, we analyze interactions of consumer on AR-based retail apps to capture rich AR interactions, followed by identifying her purchase viewpoint during the app session. We then target the consumer through a personalized catalog, created by embedding recommended products in the viewpoint visual. The color and style of the embedded product is matched using the visual compatibility with the viewpoint, and personalized text content is created using the visual cues from the AR app data. We then evaluate the system using extensive user studies. The results show that we are able to identify the viewpoint, that our recommendations are better than the tag-based content recommendation system. Moreover, targeting through the recommendations embedded in the viewpoint is significantly better than the usual product catalog based targeting.

Enhanced Personalized Targeting Using Augmented Reality.

Augmented Reality (AR) is a technology which produces a synthesis between a computer-generated data and the physical world of a viewer while establishing 3D registration and real time interaction. Among the wide range of application of AR, its use in advertising shopping experiences has recently been embraced by advertisers due to its novelty and engaging potential. Part of a wider research aiming at understanding the impact of AR on consumer psychology, this paper presents a demo platform application developed for a real-time shopping experience for shoes and attempts to define a ground base for posterior marketing research in the field. In order to fully evaluate consumer experiences and compare with the main AR platform two other shopping applications were designed: a marker-based and a static one. The platform will assist in exploring the antecedents of consumer purchase intention and in defining metrics for measuring shopping experiences with AR.

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Antonio Coelhc

Papers

Real-time augmented reality shopping platform for studying consumer cognitive experiences