Title :
Towards Big Data Visualization for Augmented Reality
Author :
Olshannikova, Ekaterina ; Ometov, Aleksandr ; Koucheryavy, Yevgeni
Author_Institution :
United Print Center Ltd., St. Petersburg, Russia
Abstract :
This article attempts to summarize challenges in visualization methods for existing Big Data and beyond. Moreover, it classifies types of data, analytical methods, visualization techniques and tools, known up to date, with a particular emphasis placed on surveying evolution of visualization techniques over the past years. Following the identified shortcomings of the existing techniques, the role of human eyes physical limitations on perception of the large amounts of information is evaluated and presented along with discussion on Augmented Realty technology and its capabilities for visualization of Big Data and beyond. Based on the results, a novel approach is proposed -- it allows one to obtain represented information segment in a short period of time without any significant data losses by placing the most essential data in the central area of the human eye visual field. This article also discusses impact of new technologies, such as Augmented Reality displays and helmets, on the Big Data visualization.
Keywords :
Big Data; augmented reality; data visualisation; Big Data visualization techniques; augmented realty technology; helmets; human eye visual field; information segment; surveying evolution; Augmented reality; Big data; Data visualization; Social network services; Software; Three-dimensional displays; Visualization; Big Data; augmented reality; classification methodology; evolution; survey; vizualization;
Conference_Titel :
Business Informatics (CBI), 2014 IEEE 16th Conference on
Conference_Location :
Geneva
DOI :
10.1109/CBI.2014.42