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The increasing number of job seekers in the UAE faces major challenges during interviews, demanding effective preparation methods. This study introduces TQDAR, an AI and VR-based game designed to enhance interview skills and reduce stress among UAE graduates. Using a case study approach, we evaluated participants’ experiences through pre- and post-training surveys. Results demonstrated an important reduction in interview-related stress levels, with a mean score decrease from 2.1 to 1.3 (p-value = 0.00004, t-value = − 5.7275), indicating the effectiveness of TQDAR in enhancing user confidence. These findings suggest that TQDAR system produced consistent improvements, emphasizing its role in preparing users for real-life interview scenarios.

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Leveraging VR and Fine-Tuned Language Models for UAE Dialect Interview Training: The TQDR Case Study

  • 会议论文

  • 发表日期：

    2026年

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  • Reem Alnaqeb,
  • Maitha Almansoori,
  • Fatema Alrashidi,
  • Alliza Anne,
  • Heba Ismail

摘要

The increasing number of job seekers in the UAE faces major challenges during interviews, demanding effective preparation methods. This study introduces TQDAR, an AI and VR-based game designed to enhance interview skills and reduce stress among UAE graduates. Using a case study approach, we evaluated participants’ experiences through pre- and post-training surveys. Results demonstrated an important reduction in interview-related stress levels, with a mean score decrease from 2.1 to 1.3 (p-value = 0.00004, t-value = − 5.7275), indicating the effectiveness of TQDAR in enhancing user confidence. These findings suggest that TQDAR system produced consistent improvements, emphasizing its role in preparing users for real-life interview scenarios.