Design and Evaluation of English-Speaking Practice Environment Based on Virtual Reality Technology

Abstract

The design and evaluation of an English-speaking practice environment based on virtual reality (VR) technology involves creating immersive virtual environments where users can interact with realistic scenarios to enhance their English-speaking skills. By leveraging VR technology, users can engage in simulated conversations, presentations, or social interactions in English, providing a safe and controlled environment for language practice. This paper presents an innovative approach to enhance English-speaking practice within virtual reality (VR) environments using the Sbi-gramO system. Sbi-gramO combines sentiment analysis and optimization techniques to select emotionally resonant and linguistically relevant bi-grams tailored to various speaking scenarios. The system's performance is evaluated through error estimation metrics, stop word analysis, and classification results across different scenarios such as job interviews, casual conversations, and public speaking engagements. Results indicate the system's effectiveness in predicting sentiment scores and distinguishing between diverse speaking contexts. Performance evaluation reveals the system's accuracy, with mean absolute errors ranging from 0.04 to 0.07 across different scenarios. Additionally, stop word analysis highlights the linguistic complexity within each scenario, with an average stop word count of 4.6. Classification results demonstrate the system's adaptability, correctly classifying instances with an accuracy of 80% on average.