## 6 Conclusions  
Today, AI is an extremely important tool for businesses. Virtual assistance offers a tangible opportunity for innovation, as companies opt to provide an additional service to their customers while optimizing processes such as recommendation support and insight analysis. Within this framework, we have developed a novel system called the context-aware emotion-driven recommendation system (CORES), which combines different technologies and approaches to ensure more satisfying performances by considering VR, emotional understanding, and contextual knowledge within LLM. The CORES system is structured into two parts: the VR user and LLM. LLM utilizes advanced prompt engineering, including RAG. CORES is implemented in the e-commerce domain as a useful and efficient tool in the context of customized products. The main goal of CORES is to understand users' emotions and to respond accordingly in a dynamic interaction mode, based on the user and shopping context. As for CORES' performance, the results obtained from experiments conducted on various datasets showed that CORES successfully recommended the right products aligned with users' preferences, achieving high levels of accuracy and efficiency on widely recognized public item datasets. Future research will explore the impact of real-time distributed users' interfaces with a broader range of emotional categories in e-commerce systems, while providing customers with more advanced interaction modalities. Conceptualization, A.A., B.A. and A.L. ; methodology, A.A.; software, A.L. writing--original draft preparation, B.A. and A.A.; writing--review and editing, A.A. and A.L. ; visualization, A.L. ; supervision, A.A. All authors have read and agreed to the published version of the manuscript. This research received no external funding. The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author. This research was supported by the Center for Theoretical Colleges of Qassim University. We thank our colleagues from the Management Information Systems & Production Management who provided insight and expertise that greatly assisted this research. No potential conflicts of interest were reported by the authors. PROMPT details in CORES. * **CORES VRShop Assistant**: \"Hello, [PERSON]! Welcome back to CORES. How can I assist you today?\"
* **[PERSON]**: \"HiI I'm looking for a new yoga mat. Can you help me find one?\"
* **CORES VRShop Assistant**: \"Sure! I have a few yoga mats that might interest you. Are you looking for any specific features, like thickness, material, or color?\"
* **[PERSON]**: \"I prefer a thicker mat for extra cushioning, and I like vibrant colors. Eco-friendly materials would be a plus.\"
* **CORES VRShop Assistant**: \"Great choices! Here are some options: a 6 mm thick eco-friendly yoga mat in teal, a 5 mm thick non-slip mat in purple, and a 7 mm thick high-density mat in green. Would you like to see these?\"
* **[PERSON]**: \"Yes, please.\"
* **CORES VRShop Assistant**: \"I've placed the yoga mats in front of you. You can pick them up and take a closer look.\"
* _[PERSON] picks up the teal yoga mat and examines it in 3D, rotating it to see the texture and thickness. He repeats this with the purple and green mats._
* **[PERSON]**: \"I like the teal one. Can you give me more insights about its features?\"
* **VRShop Assistant**: \"_Certainly! The teal yoga mat is made from eco-friendly TPE material, 6 mm thick for optimal cushioning, and has a non-slip surface for better grip during workouts. It's also lightweight and easy to carry.\"_
* **[PERSON]**: \"I'll take the teal yoga mat.\"
* **VRShop Assistant**: \"_Excellent choice! I've added the items to your cart. Would you like to proceed to checkout?\"_
* **[PERSON]**: \"_Yes, let's do that.\"_
* **VRShop Assistant**: \"_Your total is $45.99. Would you like to use your saved payment method?\"_
* **[PERSON]**: \"_Yes, that works._
* **VRShop Assistant**: \"_Your order is confirmed, [PERSON].