## 3 Results
In order to extract numerically comparable information, in Table 5, the weighted priorities (the average of the priority ordering) assigned to the different awareness modules according to the different task profiles have been collected. Finally, the graphs in Figure 7a-e show the distribution of these weighted priorities for each task. The contraction/expansion metric is the inverse of the weighted priority (displayed on the edges), so that the highest priority modules are near the center, and the lowest priority modules are at the periphery. Suppose we observe the priority distribution assigned by the EMS FRs to the different modules. In that case, we can see that there are more data than in the rest of the tasks for two reasons: it is the task that has more representatives (see Table 1) and it is one of the profiles that would show more tools in this survival situation (see Table 3). The modules with the highest priority for this profile are _Heart rate_, _Breath rate_ and environmental information of the _Black Box (temperature_, _humidity_). The lowest weighted priority values also correspond to these three modules, as shown in Table 5 and in Figure 6(a). On the contrary, the awareness modules with the highest weighted priority values, and therefore, the least prioritized, are _Battery level_, _Robust vision_ and _Wireless finder_. In the graph visualized in Figure 6(a) are the nodes farthest from the center with the lowest shrinkage values between 0.14 and 0.17. Figure 7: Awareness module importance distribution defined by a contraction metric inversely proportional to the pondered priority quantities displayed in Table 5 for each of the FR rescue missions in survival mode. The priority results associated with the Hazmat Incidents task are almost invisible in Figure 6 due to being two unique representatives. The resulting average priority ordering is more clear, as values spread over a bigger range of values (from 1 to 9) as detailed in Table 5 and depicted in Figure 7b. _Augmented olfaction_, _Robust vision_ and _Heart and Breath rates_ are the most prioritized modules, while _Battery level_, _Radar_ and _C2-FR connection_ are the less highlighted ones. The modules that the FRs with Natural Disasters profile have prioritized are the _Heart Rate_ and _Radar_, according to the weighted priorities in Table 5, and these are visualized in Figure 7c. However, the modules they prioritize the least are the _Wireless finder_ and _Augmented olfaction tool_. The priorities indicated by the FRs with a Search and Rescue profile have similar results to those of Natural Disaster tasks, as seen in Figure 6, but with more variability. The overall distribution in Figure 6 shows that the _Battery level_ and _C2-FR connection_ data have the most variability. The result of this variability is seen in Table 5 and in the graph in Figure 7d, as _Heart Rate_ and _Radar_ had a contraction coefficient of 0.5 in the graph in Figure 7c, while in Figure 7d, the _Battery level_ coefficient has dropped to 0.33, and the _Breath rate_ coefficient has dropped to 0.25. The main observation is that the priority order is less clear with more data variability. Finally, the weighted priority corresponding to firefighters, summarized in the last column of Table 5, provides almost identical results as the Natural Disasters profile. The resemblance is evident in Figure 7c-e.