M. J. M. Sunny
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Researcher
Unknown Researcher
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
M. J. M. Sunny researches the application of virtual and augmented reality technologies, particularly in the context of human interaction and performance. Their work investigates how immersive environments influence decision-making processes and user proficiency. Recent publications explore the evaluation of adjustment and proficiency disparities within virtual reality (VR) settings, as well as the combined effects of VR and gaming expertise on precision tasks. Additionally, Sunny's research addresses privacy concerns related to spatial navigability in VR and the utilization of eye-tracking analytics for real-time insights in extended reality (XR) environments.
Sunny collaborates with researchers at the University of Arkansas at Little Rock, including Aryabrata Basu, Jan P. Springer, Jayasri Sai Nikitha Guthula, and Hadi Rashid, on shared publications. With an h-index of 2 and 14 citations across 5 publications, their scholarly activity indicates recent engagement in the field.
Metrics
- h-index: 2
- Publications: 5
- Citations: 14
Selected Publications
-
DataEcho: Reflective Telemetry Replay for Studying Navigation Strategy Refinement in XR (2026)
-
CARED-VR: Context-Aware Reinforcement and Enforcement for Drill Training in VR (2026)
-
Vibrotactile Mass Cues for Planetary Interaction in VR (2026)
-
Gaze Insights in XR: Real-Time Eye-Tracking Analytics with Elasticsearch (2025)
-
Evaluating Adjustment and Proficiency Disparities in Virtual Reality (2025)
-
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
Similar Researchers
Based on overlapping research topics