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Start date: 2020Subject: search.filters.subject.Virtual Reality

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    PublicationOpen Access
    Evaluating the Role of Gamification on AI Technology tools for addressing Post-Traumatic Stress Disorders
    (Faculty of Engineering, 2025-09-09) Withanage, R.P
    The VERA AI platform offers an innovative, AI-driven neuro-engineering approach to delivering scalable, trauma-informed interventions for Post-Traumatic Stress Disorder (PTSD) among ex- combatants and internally displaced persons (IDPs) in post-conflict Sri Lanka. By combining CBT, DBT, mindfulness, and gamification within a secure, GDPR-compliant ecosystem, it aligns with Disarmament, Demobilisation, and Reintegration (DDR) objectives, supporting both individual recovery and community reintegration.Integrating neuro-sensing technologies such as EEG and HRV with machine-learning models enables personalised, real-time therapy, while policy applications include strengthening DDR programme evaluation and informing national mental health strategies. Ethical deployment emphasising privacy, informed consent, and cultural sensitivity remains central. VERA AI demonstrates how gamified, AI-enabled neuro-engineering can provide effective, cost- efficient, and user-centred psychosocial rehabilitation, empowering individuals in Sri Lanka and other post-conflict settings to rebuild their lives and contribute to sustainable peace.
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    PublicationOpen Access
    Evaluating the Effectiveness of Virtual Reality-Based Fire Safety Training Using Performance Metrics and User Behavior Analysis
    (Sri Lanka Institute of Information Technology, 2026-05-21) Nisme, N; Wijayasiri, U; Abeygunawardhana, P
    Fire safety training is essential for improving emergency response; however, conventional methods often lack interactivity and fail to provide measurable performance data. Existing Virtual Reality (VR)-based training systems enhance immersion but primarily rely on subjective evaluation, limiting quantitative assessment of effectiveness. To address this limitation, a VR-based fire safety training system integrated with performance metrics and user behavior analysis was developed and evaluated. An experimental study involving 47 participants was conducted using a pre-test and post-test design. Learning outcomes, behavioral data, and user feedback were analyzed. Results indicate a significant improvement, with median scores increasing from 4 to 8 and 70.21% of participants showing improvement. The Wilcoxon signed-rank test confirmed statistical significance (p = 0.00016) with a moderate to large effect size (r = 0.525). Behavioral metrics further demonstrated measurable user performance, supporting the effectiveness of VR-based fire safety training.