## 4 Discussion
### Synoptic Diagrams
#### 4.1.2 Second Diagram (Figure 4): Connecting Discussion to Findings
Developers must also consider the long-term societal impacts of deploying AI-powered robots in sensitive healthcare settings, where mistakes or unethical decisions could have serious consequences. \\  & & \\ \hline  & & \\ \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Source** & **Recommendation** & **Description** & **Importance** \\ \hline \multirow{9}{*}{\
\begin{tabular}{c} Various studies \\ [11; 12; 13; 14; 15; 16; 17; 18; 19; 20; 21; 22] \\ \end{tabular} } & The development of SASRs requires input & \\  & & from a diverse range of disciplines, & \\  & & including healthcare, engineering, & \\  & & psychology, ethics, and sociology. By & \\  & & bringing together experts from these fields, & \\  & & the design process can more & \\  & & comprehensively address the challenges & \\  & & and opportunities presented by SASRs. & \\  & & Engineers may focus on functionality and & \\  & & design, while healthcare providers bring & \\  & & practical insights into how SASRs can be & \\  & & used effectively in patient care. & \\  & & Psychologists can guide the development & \\  & & of empathetic interaction models, and & \\  & & ethicists can ensure the technology adheres & \\  & & to ethical standards. This holistic, & \\  & & interdisciplinary approach ensures that & \\  & & SASRs are well rounded and suitable for & \\  & & real-world applications. & \\ \hline \multirow{9}{*}{
\begin{tabular}{c} [PERSON] et al. \\ [31], [PERSON] \\ et al. [29] \\ \end{tabular} } & For SASRs to be integrated successfully & \\  & & into clinical settings, it is necessary to & \\  & & establish clear guidelines, standardized & \\  & & processes, and training programs. & \\  & & Healthcare professionals, including nurses, & \\  & & physiotherapists, and rehabilitation & \\  & & specialists, should be trained not only in & \\  & & the technical operation of SASRs but also in & \\  & & how to manage interactions with patients & \\  & & effectively. These training programs should & \\  & & cover areas such as ensuring patient & \\  & & comfort during interactions with robots, & \\  & & understanding their capabilities and & \\  & & limitations, and addressing cybersecurity & \\  & & risks. By providing healthcare workers & \\  & & with the tools and knowledge to use SASRs & \\  & & appropriately, we can ensure smoother & \\  & & integration and a more positive impact on & \\  & & patient care. & \\ \hline \hline \end{tabular}
\end{table} 
Table 6: _Cont._ \begin{table}
\begin{tabular}{c c c} \hline \hline
**Source** & **Recommendation** & **Contribution to Recommendation** \\ \hline \multirow{4}{*}{\
\begin{tabular}{c} [PERSON] et al. [32] \\ \end{tabular} } & Empathy-driven Design & Highlights the importance of empathy and collaborative approaches to \\  & and Interdisciplinary & SASR design. The study emphasizes the need for robots that are not only \\  & Collaboration & emotionally responsive but also adaptable to the cognitive and social \\  & & development of diverse user groups, enhancing their ability to engage \\  & & with and support individuals in various contexts. \\ \hline \multirow{4}{*}{
\begin{tabular}{c} [PERSON] [33] \\ \end{tabular} } & User-Centered Design and & Examines child-robot interactions, particularly in educational \\  & & environments. The findings underline how SASRs must be designed to \\  & & accommodate children’s developmental needs, advocating for emotional \\  & & engagement and interactive designs that encourage learning and social \\  & & skill development. \\ \hline \hline \end{tabular}
\end{table} 
Table 7: Sketch of the key findings in the cutting-edge recent studies and relationships with the general recommendations.