Enhancing the AR Experience with Machine Learning Services

Englert, Michael; Klomann, Marcel; Weber, Kai F.; Grimm, Paul; Jung, Yvonne

doi:10.1145/3329714.3338134

Cited by 3 publications

(2 citation statements)

References 14 publications

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“…Through object detection, image processing, and computer vision, it is possible to enhance and improve AR efficiency and effectiveness and to develop more interactive and intelligent applications. In [92], Englert et al cited several recent studies in which CNNs were utilized to perform computer vision tasks which could be applied in AR scenarios.…”

Section: Discussion and Perspectivesmentioning

confidence: 99%

Augmented Reality in Maintenance—History and Perspectives

2023

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Augmented Reality (AR) is a technology that allows virtual elements to be superimposed over images of real contexts, whether these are text elements, graphics, or other types of objects. Smart AR glasses are increasingly optimized, and modern ones have features such as Global Positioning System (GPS), a microphone, and gesture recognition, among others. These devices allow users to have their hands free to perform tasks while they receive instructions in real time through the glasses. This allows maintenance professionals to carry out interventions more efficiently and in a shorter time than would be necessary without the support of this technology. In the present work, a timeline of important achievements is established, including important findings in object recognition, real-time operation. and integration of technologies for shop floor use. Perspectives on future research and related recommendations are proposed as well.

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Section: Discussion and Perspectivesmentioning

confidence: 99%

Augmented Reality in Maintenance—History and Perspectives

2023

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“…The sole use of simple chatbots for example can reduce purchase rates significantly and has a high potential for improvement (Luo et al, 2019). The (Lampropoulos et al, 2020;Lin et al, 2018;Lalonde, 2018;Englert et al, 2019).…”

Section: Former Key Theoretical and Empirical Findingsmentioning

confidence: 99%

Managing complexity in marketing: from a design Weltanschauung

Kamran¹

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Marketing is the field of business studies that relates the firm to its wider environment, while its raison d'être is shifting to have wider societal implications beyond the limited dimension of the pure markets, wherein it was originated. The dimension of thought within the mainstream marketing is not adequate for the contemporary evolution of the design-based cyber-physical new economic-order.The current Zeitgeist of sustainability delivers many aspects that go beyond rational economics Weltanschauung, which has occupied marketing-thought by focusing on short time-horizons and the spectrum of the field's applicability based on transactional and mercantile market relations.The dissertation addresses these trends and develops a unified logical framework for marketing in the contemporary era, coined as the "Design Weltanschauung" (DWA), wherein it paves a path to conceptualize the necessary rapprochement between the fields of design and marketing designed as a course-correcting pivot within the field, called the "Design Dominant Logic" (DDL) for an integrative marketing scholarship and practice. DDL evolves marketing beyond its transactionary modus operandi towards a meaning-laden unconcealment of artefacts, which goes beyond the dimensions of a "Unique Sales and Value proposition" towards the notions of "Unique Meaning and Design Propositions", which are based on the co-evolutionary foundations of the contemporary interconnected and globalized cyber-physical-realities. While, marketing originated in a "market(ing)-to" foundation and the latest developments, were founded on a "market(ing)-with" premise, the author has introduced a new foundation of the "marketin(ing)-within", which reflects the contemporary intertwined-ness of marketing with the advancements of technology. Hence, the dissertation has paved a solid path for marketing's shifting raison d'être, wherein marketing is dominated by Artificial intelligence (AI). The dissertation has designed a marketing interpretation for AI integration and also shifted the perceptions of the role of the organizational structural embodiment and ethos for the state of theory and practice for marketers to navigate towards creating meaningladen artefacts' and innovations, wherein customers can self-actualize based on the "requisitevarieties" the firms can offer.The DWA establishes a more embracive logic for marketing replacing the pure economic view that seems to be out of touch with the challenges the firms and societies face. XTABLE OF CONTENTS PART I: RESEARCH BACKGROUND AND STRUCTURE OF THE THESIS .

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Current State and Prospects of Increasing the Functionality of Augmented Reality Using Neural Networks

Zhabokrytskyi¹

2022

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The dynamics of the development of modern society and the rapid breakthrough of the technological component led to the need to interact with fast-changing and client-oriented information in real time. This need is met through the use of augmented reality technology, which allows users to interact in real time with both the real physical and virtual digital worlds. The rapid digitization of human existence has provoked an exponential increase in the amount of existing data, thereby posing new challenges to the scientific community. At the same time, the technology of deep learning, which is successfully applied in various fields, has a rather large potential. The purpose of this study is to present the potential of combining technologies of augmented reality and deep learning, their mutual improvement and further application in the development of modern highly intelligent programs. The work briefly provides an understanding of the concepts of augmented and mixed reality and also describes the technology of deep learning. Based on the literature review, relevant studies on the development of augmented reality applications and systems using these technologies are presented and analyzed. After discussing how the integration of deep learning into augmented reality increases the quality and efficiency of applications and facilitates the daily life of their users, conclusions and suggestions for future research are provided.

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Enhancing the AR Experience with Machine Learning Services

Cited by 3 publications

References 14 publications

Augmented Reality in Maintenance—History and Perspectives

Augmented Reality in Maintenance—History and Perspectives

Managing complexity in marketing: from a design Weltanschauung

Current State and Prospects of Increasing the Functionality of Augmented Reality Using Neural Networks

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