Virtual Reality: Beyond Visualization

Area of Science:

• Scientific visualization
• Computer-mediated research
• Immersive analytics

Background:

• Virtual reality (VR) technology is now affordable and widely accessible.
• Various VR hardware options exist, from smartphone inserts to advanced sensor-tracked headsets.
• The integration of VR into scientific research is a growing area of interest.

Purpose of the Study:

• To explore the current and future contributions of VR to scientific research.
• To discuss practical approaches for employing VR in scientific applications.
• To highlight the potential of VR in data treatment and numerical simulations.

Main Methods:

• Review of existing VR applications in scientific research.
• Discussion of VR's role in visualizing and navigating complex 3D data.
• Exploration of VR's integration with data treatment, simulations, and cognitive interactions.

Main Results:

• VR provides powerful tools for 3D data visualization and navigation.
• The future of VR in science lies in advanced data treatment and numerical simulations.
• VR's potential impact on imaging data analysis may rival that of machine learning.

Conclusions:

• Virtual reality is a valuable tool for scientific visualization and data exploration.
• The convergence of VR with data treatment, simulations, and AI will drive future scientific discovery.
• VR is poised to become a significant technology in scientific research, comparable to machine learning.