Driving Growth through Innovation
Adding Value to People's Lives with Advanced 3D Interaction Design
Immersive experiences are reshaping how people connect with the digital world. At Retailbridge, we're working on improving society with technologies such as 3D hand-object interaction, natural gesture mapping, depth perception, and live agents to make these interactions user-friendly. Here, we explore the key components of augmented and virtual reality (AR-VR) and how we're delivering improvements in these areas.
TOPIC
Growth and Innovation
TECHNOLOGIES
Spatial computing, mixed, virtual, augmented reality
Key Elements of Interaction
- Natural Interactions: 3D interactions should compliment real-world actions for a more intuitive experience.
- Clear Visual Feedback: Visual cues, such as highlighting active elements, help users understand system responses.
- Depth and Spatial Awareness: Depth cues and proximity-based adjustments make interactions more immersive.
Contributions: Hyper-Realistic 3D Model Generation
Our Hyper-Realistic 3D Model Generation System creates detailed and visually engaging 3D models for retail digital shopping experiences.
- Photo-realistic: Ultra-realistic 3D models are created using a unique object reconstruction process, creating identical digital twins of products, complimenting in-store experiences and boosting customer confidence.
- Real-Time Rendering: Models optimized for 6 Degrees-of-Freedom (6-DOF) viewers allow users to explore products freely.
- Scalable and Efficient: The system supports diverse products, enabling faster time to market.
Contributions: HOT3D Dataset
The HOT3D Dataset is an important resource for understanding human-object interactions, providing data that can enhance AI training and improve user experience.
- Real-Time Training: The HOT3D dataset is used to train AI models for more responsive retail interactions, enhancing the accuracy and adaptability of AR VR experiences.
- Hand and Object Position: Helps create smoother and more accurate user experiences, crucial for interactive retail environments.
Enhancing with Artificial Intelligence
AI and machine learning are key to making experiences smarter and more engaging. By analyzing user behavior, AI can create smoother interactions. Personalized virtual environments, powered by AI can help to every user to have a positive experience that meets their needs. Predictive modeling also helps anticipate user actions, leading to more responsive and intuitive systems.
Impact of Multi-Modal Interactions
Combining hand gestures, voice commands, and eye tracking makes AR VR experiences more dynamic and accessible. Users can select items with their gaze, then use voice commands to interact, simplifying actions and offering more control. Multi-modal interactions also help reduce fatigue by providing different ways to interact with the system, keeping users comfortable and engaged.
Future of Interaction Design
Retailbridge is building a practical immersive and interactive technology platform that adds value to people's everyday lives by bridging the gap in 3D content and commerce. By focusing on gesture recognition, depth perception, and visual feedback, we’re delivering user-centered experiences that make a difference in real and virtual worlds.
Retailbridge continues to push the boundaries of AR VR interaction. By advancing natural gesture mapping and interactive models, we aim to enhance user comfort and drive the next generation of immersive experiences.
