Presenting Author

Tobias Brockmann

Paper Type

Completed Research Paper

Abstract

In recent years, augmented reality applications became more popular due to a more user-friendly design and technical improvements. Currently, augmented reality applications start to play a growing role for communication and collaboration. Some researchers classified und structured augmented reality applications in different domains, but an overall classification scheme is still missing. Additionally to this gap, new augmented reality (AR) applications and features came up, so that existing taxonomies do not cover all relevant aspects anymore. The aim of this article is to provide a classification framework for collaborative AR-applications based on literature analysis of the latest research regarding collaboration and AR-applications and as well related disciplines. In this paper we present an approach to analyze related taxonomies. Based on that, we propose a new taxonomy which covers relevant aspects of current AR applications. Following this, we compare our framework to existing taxonomies and we discuss academic and practical implications.

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A Framework for Collaborative Augmented Reality Applications

In recent years, augmented reality applications became more popular due to a more user-friendly design and technical improvements. Currently, augmented reality applications start to play a growing role for communication and collaboration. Some researchers classified und structured augmented reality applications in different domains, but an overall classification scheme is still missing. Additionally to this gap, new augmented reality (AR) applications and features came up, so that existing taxonomies do not cover all relevant aspects anymore. The aim of this article is to provide a classification framework for collaborative AR-applications based on literature analysis of the latest research regarding collaboration and AR-applications and as well related disciplines. In this paper we present an approach to analyze related taxonomies. Based on that, we propose a new taxonomy which covers relevant aspects of current AR applications. Following this, we compare our framework to existing taxonomies and we discuss academic and practical implications.