## 3 Results
### From Continuous to Global Perceived Pleasantness Assessment
#### 3.1.1 First Experiment
The significant difference between both models (\(F\)(2,14) = 29.1, \(p\) < 0.001) highlights the influence of the end of the sequence on the assessment of the global sound pleasantness, over the constituted 3-min sequences. The variable linked to the trend effect \(P_{\rm trend}\) can also replace the P\({}_{\rm end}\) variable as a predictor for the regression (\(b^{*}\) = 0.45, \(t\)(14) = 7.4, \(p\) < 0.001) with \(P_{\rm mean}\) (\(b^{*}\) = 0.92, \(t\)(14) = 15.09, \(p\) < 0.001) keeping an identic-explained variance. It is worth noting that there exists a theoretical overlap between the trend and the recency effect (as reported by [PERSON] [29]). No influence of the speed at which the sound environment switches occur on the global sound pleasantness is observed. For example, if one compares sequences C1 and C3, which evolve from the park to the boulevard quickly or very slowly, the sound pleasantness \(GP\) is lower than \begin{table}
\begin{tabular}{l l l l l l l l l l l} \hline
**Sequences** & \(L_{\rm lag}\) (\(L_{\rm lag}-L_{\rm lag}\)) & \(P_{\rm mean}\) & \(GP\) & \(\Delta\)_GP-P_mean & **Sequences** & \(L_{\rm lag}\) (\(L_{\rm lag}-L_{\rm lag}\)) & \(P_{\rm mean}\) & \(GP\) & \(\Delta\)_GP-P_mean \\ \hline A1\({}_{[\Delta\)_GP-B_[max]}\) & 76 (2.4) & 3.7 (2.3) & 2.9 (1.9) & \(-\)0.7 & C1\({}_{[\Delta\)_GP-B_[max]}\) & 65 (23) & 4.9 (1.9) & 4.2 (1.9) & \(-\)0.7 \\ A2\({}_{[\Delta\)_GP-B_[max]}\) & 76 (25) & 3.5 (2.3) & 2.6 (1.2) & \(-\)0.9 & C2\({}_{[\Delta\)_GP-B_[max]}\) & 63 (25) & 4.8 (2.2) & 4.3 (1.7) & \(-\)0.5 \\ A3\({}_{[\Delta\)_GP-B_[max]}\) & 76 (24) & 3.6 (2.1) & 3.4 (1.7) & \(-\)0.2 & C3\({}_{[\Delta\)_GP-B_[max]}\) & 70 (21) & 4.2 (2.3) & 3.5 (1.8) & \(-\)0.7 \\ A4\({}_{[\Delta\)_GP-B_[max]}\) & 76 (24) & 2.9 (2.0) & 3.4 (1.4) & 0.5 & D1\({}_{[\Delta\)_GP-B_[max]}\) & 64 (26) & 4.5 (2.4) & 4.9 (1.6) & 0.4 \\ B1\({}_{[\Delta\)_GP-B_[max]}\) & 60 (22) & 5.9 (2.1) & 6.4 (1.5) & 0.6 & D2\({}_{[\Delta\)_GP-B_[max]}\) & 63 (25) & 4.5 (1.7) & 5.5 (1.6) & 1.0 \\ B2\({}_{[\Delta\)_GP-B_[max]}\) & 60 (22) & 6.0 (2.1) & 6.3 (1.4) & 0.3 & D3\({}_{[\Delta\)_GP-B_[max]}\) & 68 (20) & 3.6 (2.2) & 4.1 (1.8) & 0.5 \\ B3\({}_{[\Delta\)_GP-B_[min]}\) & 60 (22) & 5.6 (1.9) & 5.7 (2.2) & 0.1 & E1\({}_{[\Delta\)_GP-B_[min]}\) & 62 (24) & 5.0 (2.6) & 4.8 (1.9) & \(-\)0.2 \\ B4\({}_{[\Delta\)_GP-B_[min]}\) & 60 (23) & 6.3 (1.8) & 5.7 (1.9) & \(-\)0.6 & E2\({}_{[\Delta\)_GP-B_[min]}\) & 63 (25) & 4.8 (2.2) & 5.1 (2.0) & 0.3 \\ \hline \end{tabular}
\end{table} 
Table 2: Pleasantness averaged both over participants and over time (\(P_{\rm mean}\)), the global sound pleasantness (\(GP\)) averaged over participants, and the difference between both (\(\Delta\)_GP-P_mean), for each of the 16 sequences. \begin{table}
\begin{tabular}{l l l} \hline
**Presumed Factors** & **Variables** & **Code** \\ \hline Mean value & Mean value & \(P_{\rm mean}\) \\ Trend effect & Standardized coefficient of the time regression calculations as proposed in [29] & \(P_{\rm trend}\) \\ Recency effect & Rate averaged over the last 30 s & \(P_{\rm end}\) \\ Primacy effect & Rate averaged over the first 30 s & \(P_{\rm start}\) \\ \hline \end{tabular}
\end{table} 
Table 3: Test variables for the multilinear regression. for both sequences, in accordance with the demonstrated recency effect, but to a similar extent (\(\Delta G\)_GP_-P\({}_{\text{mean}}=-0.58\) and \(-0.70\) for C1 and C3). One-way ANOVA tests confirm this observation, showing that there are no significant differences between the Ci sequences (\(F\)(2,66) = 0.13, \(p\) = 0.87), but also between the Di sequences (\(F\)(2,66) = 0.26, \(p\) = 0.77). This would suggest that the speed at which sound environments vary from one to the other has no influence on the global sound pleasantness assessment. Finally, an one-way ANOVA test reveals that the difference between the Ei sequences, where multiple changes were present in the sound environment, is not significant (\(F\)(1,44) = 1.32, \(p\) = 0.25).