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Conference Paper
Personalized Knowledge Digestion Using Extendable Dynamic User Model
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- Authors
- Youngrae Kim, Chang-Seok Bae, Sung-Won Sohn
- Issue Date
- 2012-02
- Citation
- International Conference on Electronics, Information and Communication (ICEIC) 2012, pp.1-2
- Language
- English
- Type
- Conference Paper
- Abstract
- Ever since augmented reality development became real world based technology, people who are using this technology are overwhelmed with information. Knowledge digestion is one of growing field of information abstraction which can be used to summarize information shown to the user. There are many obstacles to overcome to make personalized digestion of information. First, personalized user model should be created for knowledge digestion. Second, the technology used to retrieve and send information to user needs to be improved. Third, the digestion architecture must be revised for the personalized information digestion. In this paper, we present the obstacles of personalized information digestion, and we propose the novel extendable dynamic user model and knowledge digestion architecture.
- KSP Keywords
- Augmented reality(AR), Real-world, User Model, User needs, personalized information