CARL: A Language for Modelling Contextual Augmented Reality Environments
Dariusz Rumiński , Krzysztof Walczak
AbstractThe paper describes a novel, declarative language that enables modelling ubiquitous, contextual and interactive augmented reality environments. The language, called CARL – Contextual Augmented Reality Language, is highly componentised with regards to both the structure of AR scenes as well as the presented AR content. This enables dynamic composition of CARL presentations based on various data sources and depending on the context. CARL separates specification of three categories of entities constituting an AR environment – trackable markers, content objects and interfaces, which makes the language more flexible and particularly well suited to building collective awareness systems based on ubiquitous AR-based information visualisation.
|Publication size in sheets||0.5|
|Book||Camarinha-Matos Luis M., Barrento Nuno S., Mendonça Ricardo (eds.): Technological Innovation for Collective Awareness Systems : 5th IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2014, Costa de Caparica, Portugal, April 7-9, 2014. Proceedings, IFIP Advances in Information and Communication Technology, no. 423, 2014, Springer Berlin Heidelberg, ISBN 978-3-642-54733-1, [978-3-642-54734-8], 621 p., DOI:10.1007/978-3-642-54734-8|
|Keywords in English||Augmented Reality, CARL, XML, AR services; contextual services|
|Score|| = 10.0, 12-02-2020, BookChapterSeriesAndMatConfByIndicator|
= 15.0, 12-02-2020, BookChapterSeriesAndMatConfByIndicator
|Publication indicators||= 11|
|Citation count*||12 (2020-08-02)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.