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HyperReal: a hypermedia model for mixed reality
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Source Conference on Hypertext and Hypermedia archive
Proceedings of the fourteenth ACM conference on Hypertext and hypermedia table of contents
Nottingham, UK
SESSION: Mixed reality hypermedia table of contents
Pages: 2 - 9  
Year of Publication: 2003
ISBN:1-58113-704-4
Authors
Luis Romero  New University of Lisbon, Monte da Caparica, Portugal
Nuno Correia  New University of Lisbon, Monte da Caparica, Portugal
Sponsors
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 17,   Downloads (12 Months): 84,   Citation Count: 11
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ABSTRACT

This paper describes a generic hypermedia model that is used as a framework for building context aware and mixed reality applications. It can handle different media elements, and it defines a presentation scheme that abstracts several relevant navigation concepts, including link awareness. The model specifies a base structure for the relation between spaces, either real or virtual, and supports contextual mechanisms. Additionally, it establishes a way to correlate real/virtual world objects with information present in the hypermedia graph. It also includes store/replay mechanisms that can be used to repurpose the content in new ways, including storytelling applications. The proposed model is being tested in a gaming and storytelling environment that integrates the real world, media elements and virtual 3D worlds. The paper presents the overall framework, the current implementation and evaluates its usage in the prototype application.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  11


REVIEW

"Joao Orvalho : Reviewer"

Question answering (Q/A) is the discipline concerned with building software systems that respond to natural language questions asked by a user, by extracting the answers from a corpus of unstructured texts. Interactions may include simple requests  more...

Collaborative Colleagues:
Luis Romero: colleagues
Nuno Correia: colleagues