New insights into the suitability of the third dimension for visualizing multivariate/multidimensional data: A study based on lo

Most visualization techniques have traditionally used two-dimensional, instead of three-dimensional representations to visualize multidimensional and multivariate data. In this article, a way to demonstrate the underlying superiority of three-dimensional, with respect to two-dimensional, representation is proposed. Specifically, it is based on the inevitable quality degradation produced when reducing the data dimensionality. The problem is tackled from two different approaches: a visual and an analytical approach. First, a set of statistical tests (point classification, distance perception, and outlier identification) using the two-dimensional and three-dimensional visualization are carried out on a group of 40 users. The results indicate that there is an improvement in the accuracy introduced by the inclusion of a third dimension; however, these results do not allow to obtain definitive conclusions on the superiority of three-dimensional representation. Therefore, in order to draw fu...

• Type: Journal
• Year: 2016
• Where: IVS
• Authors: Antonio Gracia Berná, Santiago González, Víctor Robles, Ernestina Menasalvas Ruiz, Tatiana von Landesberger
• Keywords: Computer Science, IVS 2016