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Educational Program
When virtual reality and artificial intelligence meet, smart systems talk to us and react in a vivid environment just like reality. Thanks to this technology, even the way we study, receive treatment, and work is becoming much smarter and more fun.
Convergence technology that opens the future of virtual reality (VR) and artificial intelligence (AI)
1. Virtual Reality (VR)
Virtual reality (VR) is a technology that uses computer technology to artificially create a reality-like environment and immerse users in it. Typically, hardware devices such as head-mounted displays (HMDs), sensors, and controllers are combined with real-time graphic rendering technology to provide users with visual, auditory, and sometimes tactile experiences. It is used in various fields such as education, games, medicine, military, and architecture, and is particularly noteworthy because it allows for immersive experiences even in non-face-to-face situations.
Key Features of VR
- Immersion: Interacting in an environment similar to reality induces a high sense of immersion.
- Interactivity: The environment reacts in real time to the user’s movements.
- Scalability: Various spaces and times can be implemented virtually without physical limitations.
2. Overview of Artificial Intelligence (AI)
AI is a technology that can perform functions such as learning, reasoning, and recognition by imitating human intelligence. Recently, with the advancement of machine learning and deep learning technologies, it has been put to practical use in various fields such as voice recognition, image analysis, natural language processing (NLP), and autonomous driving. AI is rapidly changing the industrial structure as it enables automated decision-making and prediction based on data.
Key technological elements of AI
- Machine Learning: Algorithms that learn and improve on their own based on data.
- Deep Learning: An advanced learning technique that uses artificial neural networks to solve complex problems.
- Natural Language Processing (NLP): Technology that can understand and generate human language.
- Computer vision: Technology that analyzes images and recognizes objects.
3. Convergence of virtual reality and AI
When virtual reality and artificial intelligence are combined, their synergy is further maximized. AI can control the behavior of objects in a VR environment, process conversations with users in real time, and learn user behavior data to provide customized content. This fusion technology is developing into 'Intelligent Virtual Reality (IVR).'
Fusion Case
-Education: AI tutor analyzes students’ learning progress in a VR environment and provides personalized feedback.
-Medical: Realistic training possible with AI-based patient simulator and VR surgical environment.
- Games: AI NPCs (non-player characters) show emotional reactions based on the user's choices, increasing immersion.
- Psychotherapy: AI analyzes emotional states and provides therapeutic experiences in a VR environment.
4. Future prospects and challenges
Virtual reality and AI are expected to become core infrastructure technologies for future societies such as the metaverse, digital twins, and smart cities. In particular, as 5G/6G and cloud technologies advance, more real-time and sophisticated convergence services will become possible.
However, with technological advancements, the following challenges also exist:
Technical challenges
- Requirement of high-performance computing resources: Infrastructure required for real-time processing and large-scale data analysis.
- User interface improvements: More intuitive interaction techniques need to be developed.
Social Challenges
- Privacy and ethics issues: Need to regulate the collection and use of user behavior and biometric data.
- Digital divide: Concerns about the widening gap in education and information between classes due to lack of access to technology.
5. Conclusion
Virtual reality and artificial intelligence are powerful technologies on their own, but their convergence can provide even more creative and practical new experiences. These two technologies have the potential to reorganize all industries, including education, healthcare, manufacturing, and content, and will be important tools to make future society smarter and more human-centered. To achieve this, not only technological development, but also ethical standards and social consensus must be established in parallel.