Augmented Reality Product Presentation with Voice-Based Spatial Placement
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Solution Overview
Problem
Current systems for previewing products in augmented reality (AR) or virtual reality (VR) are cumbersome and time-consuming, requiring users to navigate and place virtual objects within virtual environments, which can be inefficient.
Innovation Solution
A system that allows users to efficiently navigate and place virtual objects within virtual environments using voice commands and natural-language processing, with the ability to recognize objects and spatial features, and generate virtual representations of products in real-world spaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually navigate and place virtual objects in AR/VR environments, then product placement accuracy is improved, but time consumption increases
Solution Approach 1:
The system performs preliminary actions by automatically capturing the user's physical space, generating virtual representations, and pre-positioning virtual objects based on voice commands before the user needs to review them. This eliminates the need for manual navigation and placement while maintaining accurate positioning.
Solution Approach 2:
The patent replaces manual mechanical navigation and object placement operations with voice-based natural language processing. The system interprets voice commands to automatically position virtual objects in the AR/VR environment, substituting hand-based mechanical interactions with acoustic signal processing.
2Ease of operation
If the system provides detailed navigation and placement controls, then user control over product positioning is improved, but system complexity increases
Solution Approach 1:
The system performs self-service by automatically capturing spatial data, generating virtual environments, and positioning objects based on simple voice commands. The complex tasks of navigation, environment mapping, and object placement are handled automatically without requiring detailed user controls or complex system configurations.
Solution Approach 2:
Natural language processing serves as an intermediary between the user's intent and the complex AR/VR system operations. Instead of requiring users to directly control navigation and placement parameters, they communicate high-level intentions through voice commands, and the system translates these into precise positioning actions.
3Productivity
If the system automatically generates virtual representations, then productivity is improved, but measurement precision may worsen
Solution Approach 1:
The system performs preliminary automated actions of capturing physical space and generating virtual representations before the user reviews them. This preliminary generation maintains productivity while allowing subsequent verification and adjustment to ensure spatial accuracy meets precision requirements.
Data Source
AI summary
Systems and methods described herein allow a customer to employ AR/VR software to generate virtual representations of physical spaces (e.g., house) and sub-spaces (e.g., living room) to preview virtual objects situated in AR/VR virtual environments. A commerce system (or mobile app associated with the commerce system) may generate virtualized environments representing a physical space (e.g., house, apartment) and regions (e.g., living room, kitchen) based on source images uploaded to or otherwise captured by the commerce system. The end-user may operate the software on a client device and interacts with VR or AR presentations of the virtual environment using a voice-based interface recognized by the software. For example, the end-user may say the name of room (region) or an object and the system retrieves data of the identified room or an appropriate room, such as virtual representations of furniture or objects situated in the room.