## 4 Discussion
### Synoptic Diagrams
#### 4.1.2 Second Diagram (Figure 4): Connecting Discussion to Findings
\begin{table}
\begin{tabular}{c c c} \hline
**Source** & **Recommendation** & **Contribution to Recommendation** \\ \hline [PERSON] et al. [34] & Interdisciplinary & Focuses on innovative robotic systems, emphasizing the need for collaboration between engineers, healthcare providers, and ethicists. Ethical considerations such as fairness, bias, and transparency are critical in developing socially aware and responsible SASRs, ensuring that their actions align with moral standards. \\ \hline [PERSON] et al. [35] & User-Centered Design and Empathy-driven Design & Investigates the acceptance of SASRs by individuals with physical disabilities. The study stresses the importance of personalized and empathetic design in creating robots that meet the specific needs of disabled individuals, ensuring that robots can effectively support their users’ daily activities. \\ \hline [PERSON] et al. [36] & Cybersecurity and Data Privacy & Discusses the integration of advanced medical devices with SASRs, highlighting the critical need for robust cybersecurity measures to protect sensitive patient data. SASRs in healthcare must ensure data privacy and security to build trust with users and healthcare providers. \\ \hline [PERSON] and [PERSON] [37] & Algorethics (AI Ethics) & Addresses ethical challenges related to deception in AI interactions, particularly in educational contexts. It emphasizes the necessity for SASRs to operate transparently, ensuring fairness and ethical standards in their behavior to prevent potential harm and maintain trust in AI-driven systems. \\ \hline [PERSON] and [PERSON] [38] & User-Centered Design and Empathy-driven Design & Examines SASR design in education, stressing the importance of considering diverse perspectives from teachers, students, and researchers. The research highlights that effective SASRs must be designed with empathy to engage and support learning, considering the emotional and cognitive needs of both students and educators. \\ \hline [PERSON] et al. [39] & Empathy-driven Design and User-Centered Design & Explores how SASRs can foster creativity, particularly in children. It underscores the significance of creating emotionally engaging robots that can interact with children in ways that encourage creativity, imagination, and learning, while also adapting to their individual emotional and developmental needs. \\ \hline [PERSON] et al. [40] & User-Centered Design and Empathy-driven Design & Focuses on the concept of joint attention in human-robot interaction, showing that empathetic robot design can improve user perceptions. By aligning the robot’s actions with the user’s attention and emotional cues, the SASR can foster a more engaging and supportive interaction. \\ \hline [PERSON] et al. [41] & User-Centered Design & Investigates how customers interact with SASRs in commercial environments, highlighting the need for adaptable design. The study emphasizes that SASRs should be designed to cater to the diverse needs and preferences of customers, providing personalized experiences and adapting to various contexts and interactions. \\ \hline [PERSON] and [PERSON] [42] & Empathy-driven Design and Interdisciplinary & Examines resistance to SASRs in healthcare, emphasizing that empathy and interdisciplinary collaboration are vital to overcoming challenges in SASR adoption. By addressing emotional concerns and working across fields, SASRs can be better integrated into healthcare settings, fostering trust and acceptance among healthcare providers and patients. \\ \hline [PERSON] et al. [43] & User-Centered Design and Empathy-driven Design & Analyzes the experiences of older adults using companion robots, focusing on emotional and cultural factors that influence their perceptions. The study suggests that empathetic design is essential for developing SASRs that align with the emotional and social needs of aging populations, promoting long-term use and satisfaction. \\ \hline [PERSON] and [PERSON] [44] & User-Centered Design, Empathy-driven Design & Investigates how older adults respond to SASRs with offspring-like voices, showing that emotional responses are key to how these robots are perceived. This research supports the idea that SASRs should be personalized, particularly in terms of emotional cues and voice characteristics, to foster positive interactions with older adults. \\ \hline \end{tabular}
\end{table}