## 4 Results and Discussion
### Generation Events  
We seek to evaluate fundamental aspects such as the average length, the time of day, or the frequency of repetition of sentences to observe users' behavior and needs regarding the PictoDroid Lite application. To provide more context, first, we studied user habits in terms of average number of sentences generated per day and how they distribute them throughout the day. Figure 5 presents a distribution of the users of the application regarding the average number of hours they use the application and the average number of phrases  
\begin{table}
\begin{tabular}{l c c c c c c c} \hline \hline
**Category** & \multicolumn{2}{c}{**Sentences**} & \multicolumn{2}{c}{**New**} & \multicolumn{2}{c}{**Deleted**} & \multicolumn{2}{c}{**Updated**} \\  & & & **Pictograms** & & **Pictograms** & & **Pictograms** \\ \hline Social interaction & 20,394 & 28.20\% & 650 & 31.01\% & 359 & 18.68\% & 186 & 31.26\% \\ Nutrition & 20,340 & 28.13\% & 686 & 32.73\% & 797 & 41.47\% & 155 & 26.05\% \\ Leisure & 14,038 & 19.41\% & 419 & 19.99\% & 392 & 20.40\% & 140 & 23.53\% \\ Care & 9273 & 12.82\% & 110 & 5.25\% & 182 & 9.47\% & 47 & 7.90\% \\ Emotions & 4513 & 6.24\% & 61 & 2.91\% & 134 & 6.97\% & 22 & 3.70\% \\ Health & 2861 & 3.96\% & 31 & 1.48\% & 26 & 1.35\% & 18 & 3.03\% \\ Incoherent & 889 & 1.23\% & 23 & 1.10\% & 22 & 1.14\% & 21 & 3.53\% \\ Names & - & - & 116 & 5.53\% & 10 & 0.52\% & 6 & 1.01\% \\ \hline \hline \end{tabular}
\end{table}
Table 8: Sample count for each defined category.  
Figure 5 reveals that 77.49% of users generate 1 to 10 sentences in one day. Nonetheless, Figure 6 shows that only 21.13% of the sentences were generated by those users. On the other hand, 33.98% of sentences correspond to users who generate 50 or more per day. In terms of usage time, 29.66% of the sentences were generated by users who use the app one hour daily or less, while 26.70% were generated by users who use it five hours or more daily.  
With this information, we can see that the majority of the users of the application generate, on average, just a few sentences in one day, but, in contrast, there are users who generate a lot of events each day. The even distribution according to the hour span indicates the existence of a smaller group of people who use the app intensively throughout the day, while a larger group uses it sporadically or for particular contexts (e.g., school, therapy, etc.). Both clues highlight how aac communicators help users with very different needs and characteristics.  
For a better understanding of this research, it is crucial to observe how frequently the users accessed the application, as many of them did not use the application during the complete data capture period. Table 9 presents the distribution of samples according to the frequency of access of the users that generated them.  
A proportion of 6.67% of users generate a phrase at least once a day; almost double, the 10.99%, generate a phrase at least once a week, and the remaining 82.35% generate a phrase at least once a month. Daily and weekly generations are associated with people who use the app as an everyday tool for communication. On the other hand, monthly uses may correspond to context-specific cases (e.g., therapy or health care) or sporadic needs. The majority of both phrases and new pictograms are associated with users who use the app less than once a week. However, daily and weekly users represent half of the generated phrases and more than a third of the new pictograms.