Dashboard

Through this chart it is possible to get an overall view of all 40 Testers, comparing their emotional reaction with respect to the specific gear heard and the individual Emotional performance metric. The individual country Testers are characterized by different colours so that they are immediately identifiable within the graph. Albanian Testers have blue lines, Campobasso Testers red, Lecce Testers green, and Montenegrin Testers pink. This chart is particularly useful because the indicators on the right (the Testers) can be turned on or off at the convenience of the dashboard visitor. The visitor can then compare the Testers (how many, which ones, and how). The filters at the top, on the other hand, are single filters: one gear at a time and one performance metric at a time can be chosen.

The charts in this section analyse the temporal trends of listening to musical marches. These trends are analysed from various perspectives. In fact, each graph focuses attention on a specific metric, visible on the right. These metrics can be analysed against their respective filter values, placed at the top.
The first graph focuses on Testers, whose trend can be analysed by geographic area, march, and performance metric.
The second graph, on the other hand, focuses on the six performance metrics, the trends of which can be analysed, either as a whole or one or more at a time, depending on geographic area, gear, or Testers.
The third chart, on the other hand, focuses on the four marches, which can be analysed considering the Testers, the geographic area, and the performance metric.
Finally, the fourth chart focuses on geographic areas, analysed with respect to performance metrics, songs, and Testers.

These charts represent the average values of the analyses performed.
In the first graph we have the average values by individual performance metric, selectable via filter at the top, to the Geographic Areas and the four gears, respectively. In fact, each geographic area has a colour associated with it, so one can easily compare the emotional reactions selected via indicator for the four countries, relative to each gear.
The second graph compares the six performance metrics, while the gears become the selectable indicator. Using the same criterion as in the previous graph, it will be easy to analyse the average emotional reaction of individual countries to the gears.
In the third graph, we focus on comparing the six performance metrics against the gear selected in the top filter.
Overall, we can say that engagement was always very high, so the Testers were probably highly intrigued by the test; the high values for Interest also confirm this for us. Excitement turns out to be low probably because the music presented did not elicit strong emotional reactions. The new and unprecedented situation justifies the higher values for Stress and lower values for Relaxation, respectively, although these are low-medium values.