## 5 Conclusions  
In the Industry 5.0 era, it is envisioned that humans will focus on creative work while robots will focus on dull, mundane, and routine work [3]. Human-robot co-working will be the dominant visible evidence of Industry 5.0 [71]. An important step toward this vision is to ensure that robots are accepted as co-workers in the workplace. In this research, we investigated whether robots will be accepted as co-workers or not in office-based work environments. We utilized The Unified Theory of Acceptance and Use of Technology (UTAUT) as the theoretical framework for the research. Data from two different countries, namely the United Kingdom and Turkey, were collected and analyzed as separate datasets and as a combined dataset. Utilizing the UTAUT model, we investigated the relationship between performance expectancy (PE), effort expectancy (EE), social influence (SI), and behavioral intention (BI) to use the robot as a co-worker. We extended our research model to include perceived sociability (PS), as we envision that most robots in office workplaces may be social robots. Therefore, we also investigated the relationship between perceived sociability and behavioral intention to use the robot as a co-worker. The findings from the analysis of the three different datasets provided similar results. The results show that performance expectancy (PE), social influence (SI), and perceived sociability (PS) have a positive significant relationship with behavioral intention (BI) to use/work with robots in office environments. The results provide guidance for both organizations wanting to utilize human-robot co-working environments and robotic technology providers. The organizations should focus on creating an environment that supports the practices of human-robot co-working via social influence. Robotic technology providers should focus on developing robots that provide performance and sociability. Governments may develop policies providing the foundation for collaboration between humans and robotic systems while ensuring ethical and sustainable business environments. Incentives, such as tax breaks or subsidies, for adopting Industry 5.0 technologies can accelerate innovation in industries utilizing these technologies. Creating and establishing necessary laws and regulations to ensure safety, security, and privacy will help facilitate the integration of robots into workplaces. Governments must address potential risks, such as job displacement, by investing in reskilling programs and education to prepare the workforce for human-robot co-working environments. Creating ethical standards and guidelines to prevent the misuse of AI and robotic technologies is crucial and is already under discussion by many. Building a resilient cybersecurity infrastructure to protect against threats targeting networked systems is essential to Industry 5.0's success. Beyond theoretical insights, this research addresses practical implications for policymakers and industry leaders, particularly in enhancing the Industry 5.0 environment and mitigating associated risks. The exploration of emerging technologies like Large Language Models (LLMs) and Generative AI (GenAI) in robotics under the Industry 5.0 paradigm may create unexpected innovations. LLMs and GenAI can revolutionize service robotics by enabling more natural and intuitive communication between humans and robots. This includes real-time language understanding, emotional intelligence, and adaptive interactions that cater to individual user needs. GenAI can be leveraged to create virtual customer service robots, enabling businesses to deploy highly personalized and interactive AI agents for customer support. These virtual robotics can simulate human-like empathy and problem-solving skills, enhancing user satisfaction. LLMs and GenAI can assist in training physical robots by simulating diverse scenarios and tasks, speeding up development cycles and improving performance in real-world applications.