## 5 User Evaluation Results
### Age and Gender Effect
#### 5.2.1 Age and Gender Effect in \"Sound\" Condition  
In regards to \"Sound\" condition, we computed [PERSON]'s rank-order correlation to investigate the relation between age and errors for both males and females separately. Correlations indicates a moderate, positive, significant correlation between errors and age in both males (R = 0.49, \(p<0.001\)) and females (R = 0.50, \(p<0.001\)). Accordingly, we can state that as age increases, the number of errors increases for both males and females (Figure 7).  
Focusing on gender differences, Figure 7 suggest that confidence intervals do not overlap in the \(\approx\)22-40 age interval. Therefore, we can state there is a significant difference at a confidence level of 95% between males and females in terms of errors in that age interval.  
We further analyzed gender differences by comparing the number of errors between males and females in the different age groups (Figure 8). To begin with, in 18-25 age group, males make fewer mistakes than females (Medians: 0 vs. 8), and the difference is significant (\(p<0.001\)). Moreover, in 26-40 age group, males also make fewer error than females (Medians: 1 vs. 8), and the difference is significant (\(p\) = 0.012) In the 41+ age group, no significant differences were found.  
Continuing our study of the \"Sound\" condition, we now focus on activation times. To do so, we computed [PERSON]'s rank-order correlation to investigate the relation between age and times of activation for both males and females separately. Correlations indicate a moderate, positive, significant correlation between times of activation and age in males (R = 0.59, \(p<0.001\)). Moreover, the [PERSON]'s rank-order indicate a weak, positive, significant correlation between times of activation and age in females (R = 0.35, \(p<0.014\)). Accordingly, we can state that as age increases, the times of activation increases for both males and females (Figure 9). Focusing gender differences, moreover, Figure 9 also suggest that confidence intervals do not overlap in the 18-35 age rages. Therefore, we can state that there is a significant difference at a confidence level of 95% between males and females in terms of activation time at that age range.  
Figure 7: Error versus Age in Sound condition: correlation for males and females displayed using a scatter plot with regression lines and 95% confidence interval. Significant correlations are marked with asterisk.  
We further analyzed gender differences by comparing the activation times between males and females in the different age groups (Figure 10). To begin with, in 18-25 age group, males are faster than females (Medians: 3368 vs. 3730), and the difference is significant (\(p<0.001\)). Finally, in the 26-40 and 41+ age groups, no significant differences were found.  
Figure 8: Boxplots comparing age groups of males and females regarding errors in “Sound” condition. Significant differences are marked with asterisk.  
Figure 10: Boxplots comparing age groups of males and females regarding times of activation in “sound” condition. Significant differences are marked with asterisk.  
Figure 9: Times of activation versus Age in Sound condition: correlation for males and females displayed using a scatter plot with regression lines and 95% confidence interval. Significant correlations are marked with asterisk.