## 4 Discussion and Conclusions
### Limitations and Future Research  
This study involved a small group of participants, limiting the diversity of perspectives and experiences observed. The specific focus on the Pepper and Double 3 robots may affect the generalizability of findings, as different robot models with varying capabilities could elicit different user responses. Additionally, while the study provided insights into initial reactions, it did not capture the dynamics of prolonged robot interaction. The findings are also influenced by the technological design of the robots, which shaped participants' experiences. Conducting the study in a controlled environment may not fully reflect real-world settings, where user needs and responses are more complex.  
This study adopted a qualitative approach to provide an in-depth understanding of user experiences during human-robot interactions. While a quantitative approach could offer measurable findings, the focus here was on capturing nuanced perceptions to inform future designs. This reflects the early stage of research in this area, where foundational insights are crucial before scaling to larger, quantitative studies. While the study focused on a single interaction scenario within a simulated warehouse, this limitation is acknowledged. Future research could include multiple scenarios to broaden understanding of how robot embodiment influences user interactions in varied contexts, enhancing the robustness of findings. Despite these limitations, the study offers valuable insights into user experience and provides practical design implications. It also enhances understanding of ethical and social considerations in AI and robotics, serving as a methodological model for HRI studies and informing policy development.  
Future research should focus on enhancing key features of AI systems and robots, such as adaptability, interactivity, and autonomy. Addressing limitations like slow movement speeds and response delays in robots like Pepper and Double 3 is essential. Improved simulation of human behaviors and gestures could further enhance user comfort and acceptance of AI technology. Enhanced communication features and reduced response times should remain priorities for optimizing user interactions. Promoting awareness of robots' limitations and capabilities can foster more effective communication, improving overall interaction quality. Exploring the ethical and societal implications of integrating robots into daily life--such as privacy, job displacement, and human-robot relationship dynamics--will provide critical insights as society moves toward increased AI integration.  
Conceptualization, E.M.-O., S.B. and T.H.; methodology, E.M.-O.; software, S.B. and T.H.; validation, E.M.-O.; formal analysis, E.M.-O.; investigation, E.M.-O., S.B. and T.H.; resources, S.B. and T.H.; data curation, H.A., A.H., M.L. and S.W.; writing--original draft preparation, H.A., A.H., M.L. and S.W.; writing--E.M.-O.; visualization, H.A., A.H., M.L. and S.W.; supervision, E.M.-O., S.B. and T.H.; project administration, E.M.-O. All authors have read and agreed to the published version of the manuscript.  
This research received no external funding.  
Ethical review and approval were waived for this study due to the observational nature of the study.  
Informed Consent Statement: Informed consent was obtained from all subjects involved in the study.  
Data availability Statement: Data are not publicly available due to privacy restrictions. However, data may be available from the authors upon reasonable request.  
The authors declare no conflicts of interest.