No abstract

We present a visual analytics system SemanticPrism, which aims to analyze large-scale high-dimensional datasets containing logs of a million computers. SemanticPrism visualizes the data from three different perspectives: geo-temporal, time series curve, and pixel visualization. With each perspective, we use semantic zooming to present more detailed information.

a) (b) (c) (d) Figure 1: (a) The user persona explains the autistic learner. (b) The two learning methods are scanning QR codes on labels and reinforcing skills by playing the game. (c) Sample of the mock-up and formative evaluation feedback. (d) Illustration of the final design and graphics.