A study presented at the IEEE Engineering in Medicine and Biology Society conference highlights the potential of integrating Artificial Intelligence (AI) into assistive technologies for individuals with visual impairment (VI). Current systems often require clear voice commands, which can be challenging for users who may struggle with cognition and memory. To address this issue, researchers developed an interactive system that combines a Large Language Model (LLM) with focused self-attention (FSA) mechanisms. A virtual reality-based experiment involving 12 participants was conducted to compare traditional voice command control with the new LLM-FSA approach. Results indicated significant improvements in convenience, intuitiveness, and efficiency for users employing the LLM-FSA method. This research aims to enhance the accessibility of assistive technologies for visually impaired individuals, suggesting that tailored AI solutions can better meet their needs.