scholarly journals User Interface Pattern for AR in Industrial Applications

Information ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 251
Author(s):  
Regina Koreng ◽  
Heidi Krömker

The background of the paper is that there are currently no specifications or guidelines for the design of a user interface for an augmented reality system in an industrial context. In this area, special requirements apply for the perception and recognition of content, which are given by the framework conditions of the industrial environment, the human–technology interaction, and the work task. This paper addresses the software-technical design of augmented reality surfaces in the industrial environment. The aim is to give first design examples for software tasks by means of sample solutions. For a user-oriented implementation, the methods of personas and an empirical investigation were used. Personas are a stereotypical representation of end users that reflect their characteristics and requirements. For the subsequent development of the pattern catalog, different prototypes with layout and interaction variants were tested in an empirical study with 50 participants. By observing the current realizations, these can be examined more closely in terms of their specific use in an industrial environment. The result is a pattern catalog with 26 solutions for layout and interaction variants. For the layout variants, no direct favorite of the testers could be ascertained; the existing solutions already offer a wide spectrum, which are chosen according to personal preferences. For interaction, on the other hand, it is important to enable fast input. During the study, gesture control revealed weaknesses in this regard. This can be supportive in the development of an industrial augmented reality system regarding a user-oriented representation of the interface.

Author(s):  
Tapio Salonen ◽  
Juha Sa¨a¨ski ◽  
Charles Woodward ◽  
Otto Korkalo ◽  
Ilari Marstio ◽  
...  

One of the main challenges of introducing Augmented Reality technology into industrial applications is fast, reliable, low-cost authoring of animated AR content of product data created in 3D CAD systems. In this paper we present a product data information pipeline from industry used commercial CAD systems to a marker-based augmented reality system. The pipeline utilizes ISO 10303 (STEP) data protocol, DFA-Tool (Design For Assembly), and VTT’s proprietary content creation and augmenting software. The pipeline is verified with a real industrial application.


Author(s):  
Srihathai Prammanee ◽  
Pekka Siltanen ◽  
Marko Luukkainen ◽  
Tommi Karhela

Author(s):  
João M. F. Rodrigues ◽  
Pedro J. S. Cardoso ◽  
Joana Lessa ◽  
João André Pereira ◽  
João D. P. Sardo ◽  
...  

The Mobile Five Senses Augmented Reality System for Museums (M5SAR) project aims to development an Augmented Reality mobile system for museums. Museums are amazing places, where it is important to sensorial augment as much as possible the visits, permitting to see, ear, touch, smell, and taste all the interesting objects there exist. Also fundamental is that visitors with different profiles (child, adult, expert, etc.) can have different experiences when visiting the same object. In the M5SAR system, the visitor uses its smartphone to select the object(s) to explore, and the user interface adapts on-the-fly to the object(s) and user's profile. Simultaneously, when integrated, a paired hardware device allows the extension of the augmented reality system to the human five senses, complementing the visual and auditory information about the objects. This chapter presents the initial framework to develop a five senses mobile adaptive museum system.


Author(s):  
Daniella Mushka ◽  
Yeva Erfan

This scientific article considers all aspects, modern importance and growing role of the social media marketing and advertisement in the general spectrum of marketing activity for developed and developing brands. Investigational actuality and basic directions of application of all spectrum of instruments of social networks for the sake of advancement of product and the processes of forming perception of trade mark and forming the image of brand are analyzed by the authors of the article. The given scientific article highlights the most popular trends and patterns of goods and trademarks’ promotion in the world in the context of updating the concept of advertising on social networks. The bigger and more engaged your target audience is on social media networks (Instagram, Facebook, Twitter, YouTube etc), the easier it will be for you to achieve every other marketing or business goal. The importance of social media marketing’s assistance in attracting new potential clients and customers to the company is also considered in the given article. Besides that, the authors of the article list and analyse wide spectrum of basic trends considering promotion and advertising in 2019 among the well-known brands. In addition to this all, the list of the most successful publicity advertisement campaigns of this year and brands which were promoted with their assistance are listed and analysed. In the context of the study, it shows up that advertising campaigns play a significant role not only in reaching sales but also in generating overall customer loyalty to the brand. This makes it possible to argue that the most reputable brands should have an important social goal that will be positively accepted by society and target audience in addition to the high quality and usability of the products or services. Social networking is the easiest way to see the social response to your promotion and lead to an instant purchase. Therefore, relying on the experience of the already well-known multinational and transnational corporations, social media marketing should take a significant share of the overall promotion of the company. The connection between the brand and potential customer should be built on the emotions that accompany consumers when viewing ads and using products. This scientific article eventually declares conclusions and prognoses in relation to subsequent development of these instruments and platforms for advancement and branding of small and large enterprises in future. It states that emotional connection between person and brand is much more effective for the company than an expensive ad.


Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3061
Author(s):  
Alice Lo Valvo ◽  
Daniele Croce ◽  
Domenico Garlisi ◽  
Fabrizio Giuliano ◽  
Laura Giarré ◽  
...  

In recent years, we have assisted with an impressive advance in augmented reality systems and computer vision algorithms, based on image processing and artificial intelligence. Thanks to these technologies, mainstream smartphones are able to estimate their own motion in 3D space with high accuracy. In this paper, we exploit such technologies to support the autonomous mobility of people with visual disabilities, identifying pre-defined virtual paths and providing context information, reducing the distance between the digital and real worlds. In particular, we present ARIANNA+, an extension of ARIANNA, a system explicitly designed for visually impaired people for indoor and outdoor localization and navigation. While ARIANNA is based on the assumption that landmarks, such as QR codes, and physical paths (composed of colored tapes, painted lines, or tactile pavings) are deployed in the environment and recognized by the camera of a common smartphone, ARIANNA+ eliminates the need for any physical support thanks to the ARKit library, which we exploit to build a completely virtual path. Moreover, ARIANNA+ adds the possibility for the users to have enhanced interactions with the surrounding environment, through convolutional neural networks (CNNs) trained to recognize objects or buildings and enabling the possibility of accessing contents associated with them. By using a common smartphone as a mediation instrument with the environment, ARIANNA+ leverages augmented reality and machine learning for enhancing physical accessibility. The proposed system allows visually impaired people to easily navigate in indoor and outdoor scenarios simply by loading a previously recorded virtual path and providing automatic guidance along the route, through haptic, speech, and sound feedback.


Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4818
Author(s):  
Nils Mandischer ◽  
Tobias Huhn ◽  
Mathias Hüsing ◽  
Burkhard Corves

In the EU project SHAREWORK, methods are developed that allow humans and robots to collaborate in an industrial environment. One of the major contributions is a framework for task planning coupled with automated item detection and localization. In this work, we present the methods used for detecting and classifying items on the shop floor. Important in the context of SHAREWORK is the user-friendliness of the methodology. Thus, we renounce heavy-learning-based methods in favor of unsupervised segmentation coupled with lenient machine learning methods for classification. Our algorithm is a combination of established methods adjusted for fast and reliable item detection at high ranges of up to eight meters. In this work, we present the full pipeline from calibration, over segmentation to item classification in the industrial context. The pipeline is validated on a shop floor of 40 sqm and with up to nine different items and assemblies, reaching a mean accuracy of 84% at 0.85 Hz.


2013 ◽  
Vol 60 (9) ◽  
pp. 2636-2644 ◽  
Author(s):  
Hussam Al-Deen Ashab ◽  
Victoria A. Lessoway ◽  
Siavash Khallaghi ◽  
Alexis Cheng ◽  
Robert Rohling ◽  
...  

2009 ◽  
Vol 5 (4) ◽  
pp. 415-422 ◽  
Author(s):  
Ramesh Thoranaghatte ◽  
Jaime Garcia ◽  
Marco Caversaccio ◽  
Daniel Widmer ◽  
Miguel A. Gonzalez Ballester ◽  
...  

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