# Evaluation of Two Self-Fitting User Interfaces for Bimodal CI-Recipients
## 4 Results  
### Self-Fitting Final Positions  
Figure 5 shows all final slider positions \(sp\) in the form of violin plots. Each individual violin plot shows the final slider position for one fitting parameter (y-axis) for all study participants with the relevant sound sample (x-axis). The median (black point) and mean (black line) values for all final positions across all participants are also shown. The raw data presented in the violin plots can be viewed in Tables 12-12 in Appendix A. To check whether the final position of the slider for the same parameter varied significantly between the different sound conditions, or whether the final position was independent of the sound presented, a Friedman test was performed. At a significance level of \(p_{sig}=0.5\), significant differences were found for the volume (\(p_{CI}<0.01\), \(p_{HA}<0.01\)) and treble on the HA side (\(p_{HA}=0.02\)). However, no significant deviation was obtained for the bass (\(p_{CI}=0.96\), \(p_{HA}=0.42\)), mids (\(p_{CI}=0.14\), \(p_{HA}=0.07\)), or treble on the CI side (\(p_{CI}=0.23\)). Due to the sample size of only n = 18 participants, the results for the Friedman test may need to be treated with caution. Regarding the comparison of the settings between HA and CI, there was a trend where the participants made separate settings for the devices, instead of finding a setting in the paired mode that worked for both sides. In the total of 126 self-fittings performed with the EQ UI (18 participants and 7 conditions), separate fitting was performed in 119 cases. To check whether the tendency of fit was the same on both sides, the Kendall agreement coefficient was calculated and tested for significance. The results showed a significant correlation for the bass (\(\tau=0.17\), \(p=0.03\)), mid (\(\tau=0.25\), \(p<0.01\)), and treble (\(\tau=0.31\), \(p<0.01\)) parameters at a significance level of \(p_{sig}=0.5\). However, no significant correlation was found for the volume parameter (\(\tau=0.07\), \(p=0.32\)).  
The same aspects were also studied for the final point positions \(pp_{x}\) and \(pp_{y}\) of the 2D-surface UI. Figure 6 shows the individual final positions, as well as their mean and median values. The analyses concerning the influence of the sound condition on the final point position showed that this only had a significant influence on the amplification \(pp_{y}\) (\(p_{CI}<0.01\), \(p_{HA}<0.01\)) but not on the chosen frequency range \(pp_{x}\) (\(p_{CI}=0.65\), \(p_{HA}=0.40\)). For \(pp_{y}\) and \(pp_{x}\), there was no significant correlation (\(\tau_{pp_{y}}=0.25\), \(\tau_{pp_{x}}=-0.2\), \(p_{pp_{y}}=0.25\), \(p_{pp_{x}}=0.60\)) between the settings on the CI and HA sides.  
Figure 5: **Final Positions EQ UI:** Violin plot of all final positions (\(n=18\)) for every slider of the EQ UI in the different sound conditions: soft speech (soft sp), middle-loud speech in quiet (med sp), loud speech in noise (loud sp), classic music (cla mus), pop music (pop mus), entrance hall (ent hall), and beside a busy street (str). The black line shows the mean value and the black point the median value.  
Figure 6: **Final Positions 2D-Surface UI:** Violin Plot of all final positions (\(n=18\)) for both directions \(pp_{x}\) and \(pp_{y}\) of the point in the 2D-Surface UI for all sound conditions: soft speech (soft sp), middle-loud speech in quiet (med sp), loud speech in noise (loud sp), classic music (cla mus), pop music (pop mus), entrance hall (ent hall), and beside a busy street (str). The black line shows the mean value and the black point the median value.