%0 Journal Article
%T CAVIR: CORRESPONDENCE ANALYSIS IN VIRTUAL REALITY WAYS TO A VALID INTERPRETATION OF CORRESPONDENCE ANALYSIS POINT CLOUDS IN VIRTUAL ENVIRONMENTS
%A FREDERIK GRAFF
%A ANDREA B£¿NSCH
%A DANIEL B¨¹NDGENS
%A TORSTEN KUHLEN
%J Ad Alta : Journal of Interdisciplinary Research
%D 2012
%I Magnanimitas
%X Correspondence Analysis (CA) is frequently used to interpret correlationsbetween categorical variables in the area of market research. To do so, coherences ofvariables are converted to a three-dimensional point cloud and plotted as threedifferent 2D-mappings. The major challenge is to correctly interpret these plottings.Due to a missing axis, distances can easily be under- or overestimated. This can leadto a misinterpretation of data and thus to faulty conclusions. To address this problemwe present CAVIR, an approach for CA in Virtual Reality. It supports users with avirtual three-dimensional representation of the point cloud and different tools foranalysis and clustering. Besides, the free rotation of the entire point cloud enables theCA user to always have a correct view of the data.
%K interaction techniques
%K user interfaces
%K exploratory data analysis
%K correspondence analysis
%K virtual reality
%K clustering
%K market research
%U http://www.magnanimitas.cz/ADALTA/0202/papers/A_graf.pdf