Abstract
With advances in tracking and increased computing power, mobile AR systems are popular in our daily life. Researchers in mobile AR technology have emphasized the technical challenges involved in the limitations imposed from mobility. They did not consider context-aware service with user-related information annotation, even if in ubiquitous computing environment, various contexts of both a user and an environment can be utilized easily as well as effectively. Moreover, it is difficult to have access to pervasive but invisible computing resources. At the same time, the more smart appliances become evolved with more features, the harder their user interfaces tend to become to use. Thus, in this paper, we propose Context-aware Mobile Augmented Reality (CaMAR) system. It lets users interact with their smart objects through personalized control interfaces on their mobile AR devices. Also, it supports enabling contents to be not only personalized but also shared selectively and interactively among user communities.
This research is supported by the Ubiquitous Computing and Network (UCN) Project, the Ministry of Information and Communication (MIC) 21st Century Frontier R&D Program in Korea.
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Suh, Y., Park, Y., Yoon, H., Chang, Y., Woo, W. (2007). Context-Aware Mobile AR System for Personalization, Selective Sharing, and Interaction of Contents in Ubiquitous Computing Environments. In: Jacko, J.A. (eds) Human-Computer Interaction. Interaction Platforms and Techniques. HCI 2007. Lecture Notes in Computer Science, vol 4551. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73107-8_106
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DOI: https://doi.org/10.1007/978-3-540-73107-8_106
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