M. J. M. Sunny
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Also affiliated: Chittagong University of Engineering & Technology (2019)
Research Areas
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Biography and Research Information
OverviewAI-generated summary
M. J. M. Sunny's research focuses on immersive environments, particularly virtual reality (VR) and extended reality (XR). Their work investigates how users interact with and make decisions within these digital spaces, exploring factors such as spatial navigability, adjustment, and proficiency. Recent publications examine the non-linear parameterization of spatial decision-making in immersive VR, the combined effects of VR and gaming expertise on performance, and privacy concerns related to spatial navigation in VR. Sunny also studies the application of eye-tracking analytics for real-time feedback in XR environments and the development of context-aware systems for drill training in VR. Collaborations include work with Aryabrata Basu, Jan P. Springer, Jayasri Sai Nikitha Guthula, and Md Asif Bin Karim, all at the University of Arkansas at Little Rock.
Metrics
- h-index: 3
- Publications: 9
- Citations: 21
Selected Publications
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DataEcho: Reflective Telemetry Replay for Studying Navigation Strategy Refinement in XR (2026)
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CARED-VR: Context-Aware Reinforcement and Enforcement for Drill Training in VR (2026)
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Vibrotactile Mass Cues for Planetary Interaction in VR (2026)
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Gaze Insights in XR: Real-Time Eye-Tracking Analytics with Elasticsearch (2025)
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Evaluating Adjustment and Proficiency Disparities in Virtual Reality (2025)
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Non-linear parameterization of spatial decision making in immersive virtual environment (2024)
Collaboration Network
Top Collaborators
- Non-linear parameterization of spatial decision making in immersive virtual environment
- Evaluating Adjustment and Proficiency Disparities in Virtual Reality
- Gaze Insights in XR: Real-Time Eye-Tracking Analytics with Elasticsearch
- Vibrotactile Mass Cues for Planetary Interaction in VR
- CARED-VR: Context-Aware Reinforcement and Enforcement for Drill Training in VR
Showing 5 of 6 shared publications
- Gaze Insights in XR: Real-Time Eye-Tracking Analytics with Elasticsearch
- CARED-VR: Context-Aware Reinforcement and Enforcement for Drill Training in VR
- DataEcho: Reflective Telemetry Replay for Studying Navigation Strategy Refinement in XR
- Evaluating Adjustment and Proficiency Disparities in Virtual Reality
- Gaze Insights in XR: Real-Time Eye-Tracking Analytics with Elasticsearch
- Vibrotactile Mass Cues for Planetary Interaction in VR
- CARED-VR: Context-Aware Reinforcement and Enforcement for Drill Training in VR
- Gaze Insights in XR: Real-Time Eye-Tracking Analytics with Elasticsearch
- Gaze Insights in XR: Real-Time Eye-Tracking Analytics with Elasticsearch
- Gaze Insights in XR: Real-Time Eye-Tracking Analytics with Elasticsearch
- Gaze Insights in XR: Real-Time Eye-Tracking Analytics with Elasticsearch
- CARED-VR: Context-Aware Reinforcement and Enforcement for Drill Training in VR
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