## 4 Hypothesis Testing Results
\begin{table}
\begin{tabular}{l c c c c c c} \hline \hline \multicolumn{1}{c}{**Parameters**} & \multicolumn{1}{c}{**Path Coef. (\(\beta\))**} & \multicolumn{1}{c}{**t-Value**} & \multicolumn{1}{c}{**\(p\)-Value**} & \multicolumn{1}{c}{**95\% CI**} & \multicolumn{1}{c}{**Supported?**} \\ \hline Direct Effect (Path) & & & & & & **2.5\%** & **97.5\%** & **Supported?** \\ H1: PAI \(\rightarrow\) PSI & 0.172 ** & 2.763 & 0.006 & 0.053 & 0.294 & Yes \\ H2: PAM \(\rightarrow\) PSI & 0.159 ** & 2.797 & 0.005 & 0.048 & 0.270 & Yes \\ H3: PAD \(\rightarrow\) PSI & \(-\)0.134 ** & 2.603 & 0.009 & \(-\)0.238 & \(-\)0.037 & Yes \\ H4: IPR \(\rightarrow\) PSI & \(-\)0.129 * & 2.237 & 0.025 & \(-\)0.241 & \(-\)0.018 & Yes \\ H5: PAI \(\rightarrow\) TRS & 0.390 ** & 7.392 & 0.000 & 0.281 & 0.491 & Yes \\ H6: PAM \(\rightarrow\) TRS & 0.149 ** & 2.604 & 0.009 & 0.035 & 0.261 & Yes \\ H7: PAD \(\rightarrow\) TRS & \(-\)0.044 (**) & 0.793 & 0.428 & \(-\)0.155 & 0.060 & No \\ H8: IPR \(\rightarrow\) TRS & \(-\)0.190 ** & 3.324 & 0.001 & \(-\)0.302 & \(-\)0.080 & Yes \\ H9: TRS \(\rightarrow\) PSI & 0.265 ** & 4.476 & 0.000 & 0.148 & 0.377 & Yes \\ H10: PSI \(\rightarrow\) CUI & 0.305 ** & 5.614 & 0.000 & 0.194 & 0.410 & Yes \\ H11: TRS \(\rightarrow\) CUI & 0.332 ** & 6.050 & 0.000 & 0.224 & 0.440 & Yes \\ \hline \multicolumn{1}{c}{Specific Indirect Effect (Mediation Path)} & & & & & & \\ PAI \(\rightarrow\) PSI \(\rightarrow\) CUI & 0.052 * & 2.429 & 0.015 & 0.014 & 0.099 & Yes \\ PAM \(\rightarrow\) PSI \(\rightarrow\) CUI & 0.049 * & 2.356 & 0.019 & 0.013 & 0.093 & Yes \\ PAD \(\rightarrow\) PSI \(\rightarrow\) CUI & \(-\)0.041* & 2.228 & 0.026 & \(-\)0.082 & \(-\)0.010 & Yes \\ IPR \(\rightarrow\) PSI \(\rightarrow\) CUI & \(-\)0.039 * & 2.090 & 0.037 & \(-\)0.078 & \(-\)0.005 & Yes \\ PAI \(\rightarrow\) TRS \(\rightarrow\) CUI & 0.129 ** & 4.848 & 0.000 & 0.080 & 0.185 & Yes \\ PAM \(\rightarrow\) TRS \(\rightarrow\) CUI & 0.049 * & 2.211 & 0.027 & 0.010 & 0.098 & Yes \\ PAD \(\rightarrow\) TRS \(\rightarrow\) CUI & \(-\)0.014 (**) & 0.783 & 0.434 & \(-\)0.054 & 0.020 & No \\ IPR \(\rightarrow\) TRS \(\rightarrow\) CUI & \(-\)0.063 ** & 2.887 & 0.004 & \(-\)0.110 & \(-\)0.024 & Yes \\ \hline \hline \end{tabular} Source(s): Table by the Author. Note: Path Coef. (\(\beta\)) are the standardized coefficients, and CI is the confidence interval; ** ** \(p\) < 0.001; ** \(p\) < 0.01; ** \(p\) < 0.05; (**) means no significant (\(p\) > 0.05); Abbreviations: PAI = Perceived Anthropomorphism–Intimacy; PAM = Perceived Agency–Morality; PAD = Perceived Agency–Dependency; IPR = Perceived Risk–Information Privacy Risk; PSI = Parasocial interaction; TRS = Trust; CUI = Continuance usage intention.  
\end{table} 
Table 6: Results of hypothesis testing (Bootstrapping 5000). These results demonstrate that all MOCCA's features indirectly impact CUI through PSI. Additionally, while PAI, PAM, and IPR have an indirect impact on CUI through TRS, PAD does not exhibit an indirect effect on CUI through TRS. These results confirm the indirect effects of MOCCA's features on continuance usage intention, facilitated through both PSI and TRS, underscoring the roles of parasocial interaction and trust as intermediary mechanisms that modulate the human-social robot relationship within the SOR framework, as illustrated in Figure 4.