Jéssica Oliveira de Souza, L. C. Botega, R. Chiaramonte
{"title":"An Information Architecture for Augmented Reality Browsers","authors":"Jéssica Oliveira de Souza, L. C. Botega, R. Chiaramonte","doi":"10.1109/SVR.2014.51","DOIUrl":null,"url":null,"abstract":"The evolution of the several sensors embedded in mobile devices and the massive availability of information indexed on the Internet has provided a bright environment for the development of innovative applications of Augmented Reality (AR ) in areas such as geolocation and navigation. In this scenario with several sources of information, the obtaining of relevant and timely information has become primordial to ensure the effectiveness of mobile solutions that help the user to locate and identify points of interest (POI ) on demand. Thus, this paper presents a layered architecture for the structural organization of information consumed by mobile navigation applications, providing a personalized on-demand by user about what information on points of interest should be displayed in the AR application interface. The layers are presented and their performance in a situation of POI search is discussed in details. Finally, it is presented the result of a quantitative analysis performed with users in order to verify the applicability of the architecture.","PeriodicalId":291858,"journal":{"name":"2014 XVI Symposium on Virtual and Augmented Reality","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 XVI Symposium on Virtual and Augmented Reality","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SVR.2014.51","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The evolution of the several sensors embedded in mobile devices and the massive availability of information indexed on the Internet has provided a bright environment for the development of innovative applications of Augmented Reality (AR ) in areas such as geolocation and navigation. In this scenario with several sources of information, the obtaining of relevant and timely information has become primordial to ensure the effectiveness of mobile solutions that help the user to locate and identify points of interest (POI ) on demand. Thus, this paper presents a layered architecture for the structural organization of information consumed by mobile navigation applications, providing a personalized on-demand by user about what information on points of interest should be displayed in the AR application interface. The layers are presented and their performance in a situation of POI search is discussed in details. Finally, it is presented the result of a quantitative analysis performed with users in order to verify the applicability of the architecture.