Clustering to Categorize Desirability in Software: Exploring Cluster Analysis of Product Reaction Cards in a Stereoscopic Retail Application

We perform clustering over the Product Reactions Cards in order to group the terms in 8 groups and 41 subgroups. A card sorting exercise among software engineers and UX practitioners was performed in order to achieve this. We present a preliminary case study using this classification with a retailing application in order to see the difference in connotations that result introducing stereoscopic depth to the GUI.