## 5 Discussion and Conclusions  
The conclusion of this study engenders discourse within the spheres of technology and psychological acceptance. The variance elucidated stands at 55.3% for behavioral intentions and 45.7% for satisfaction, which substantially converges with the presented hypotheses. The ensemble of hypotheses pertaining to the factors undergirding the expanded model manifests statistically significant associations. The model's overarching architecture corroborates a pronounced propensity among consumers to assimilate SWDs into their leisure repertoire. While the research findings substantiate the anticipated conjectures to a large extent, nuanced distinctions persist, warranting contemplation. Initially, the outcomes pertaining to technology acceptance corroborate the supposition that consumers' behavioral intentions are substantially influenced by constructs such as Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions. These constructs synergistically combine to have a direct impact on the configuration of behavioral intentions. The results show that the construct of Facilitating Conditions has a relatively muted significance. This diminution in prominence can feasibly be attributed to the intricate web of compatibility challenges that pervade the multifarious landscape of SWDs and their associated supplementary products. This compatibility conundrum is compounded by resource constraints and informational voids, which impede user-friendliness. Beyond this, the utilization of SWDs within recreational domains may necessitate a degree of adeptness in operating such equipment. The cultivation of skills and the navigation of challenges have emerged as integral components within high-quality leisure pursuits aiming to engender an immersive \begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Hypothesis** & **Path** & **Estimate** & **S.E.** & **C.R.** & \(p\)**-Value** & **Result** \\ \hline H1 & PE\(\rightarrow\)BI & 0.207 & 0.041 & 5.006 & *** & supported \\ H2 & EE\(\rightarrow\)BI & 0.314 & 0.034 & 9.129 & *** & supported \\ H3 & SI\(\rightarrow\)BI & 0.146 & 0.038 & 3.866 & *** & supported \\ H4 & FC\(\rightarrow\)BI & 0.087 & 0.036 & 2.430 & * & supported \\ H5 & SA\(\rightarrow\)BI & 0.371 & 0.047 & 7.951 & *** & supported \\ H6 & PR\(\rightarrow\)BI & \(-\)0.125 & 0.047 & \(-\)2.687 & ** & supported \\ H7 & PR\(\rightarrow\)SA & \(-\)0.431 & 0.040 & \(-\)10.724 & *** & supported \\ H8a & PFV\(\rightarrow\)SA & 0.315 & 0.037 & 8.592 & * & supported \\ H8b & PEV\(\rightarrow\)SA & 0.098 & 0.036 & 2.705 & ** & supported \\ H8c & PPV\(\rightarrow\)SA & 0.118 & 0.039 & 3.057 & *** & supported \\ \hline \hline \end{tabular} S.E. = standard error, C.R. = critical ratio, * \(p\) < 0.05, ** \(p\) < 0.01, *** \(p\) < 0.001.  
\end{table} 
Table 4: Result of structural model. Figure 2: Result of the techno-psychological acceptance theoretical model. Note 1: *** \(p\) < 0.001. ** \(p\) < 0.01, * \(p\) < 0.05. Note 2: Values not in parentheses are standardized parameter estimate; values in parentheses are t values. leisure experience through goal attainment or skill refinement [89]. Hence, a stable and adept operational context is indispensable for the seamless execution of immersive leisure. This factor stands as one of the determinants affecting Facilitating Conditions. Equipment vendors predominantly cater to institutional and group clients, thereby accentuating their orientation toward providing enduring technical services. This predilection inadvertently gives rise to an apparent deficiency in the provisioning of technical support for individual consumers. The abundance of SWD types and brands, along with compatibility issues among different brands and systems, poses challenges to consumer behavior. A strategic approach should prioritize offering comprehensive technology support solutions, as well as pre-sales and after-sales services, including readily available quick-response solutions.