Multimodal Digital Model Interfaces for Precise Access Control
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Solution Overview
Problem
Existing conversational and spatial interfaces for digital model platforms lack the specialized functionality required for precise control and handling of complex operations, technical language, and multi-step tasks, while code interfaces require technical expertise, limiting accessibility for non-technical users.
Innovation Solution
A multimodal user interface system integrating conversational, spatial, and code interfaces within a unified digital model platform, utilizing VR/AR for secure and efficient interaction with digital artifacts, enabling precise control and accessibility for both technical and non-technical users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conversational and spatial interfaces are used for digital model platforms, then accessibility for non-technical users is improved, but the ability to perform precise control and handling of complex operations deteriorates
Solution Approach 1:
The interface is segmented into multiple specialized interface types (conversational, spatial, code, and hybrid interfaces), each optimized for specific task categories. This allows non-technical users to access high-level conversational interfaces for simple tasks while technical users can access code interfaces for precise control, resolving the contradiction between accessibility and precision.
Solution Approach 2:
The system dynamically adapts the interface type based on the complexity of the operation and user expertise. Simple operations use conversational interfaces for ease of access, while complex operations automatically transition to spatial or code interfaces that provide precise control, allowing the system to optimize both accessibility and precision contextually.
2Measurement precision
If code interfaces are used for digital model platforms, then precise control and handling of complex operations is improved, but accessibility for non-technical users deteriorates
Solution Approach 1:
Spatial interfaces act as an intermediary layer between conversational interfaces and code interfaces. They provide visualized, intuitive control for complex operations without requiring users to write code, while still enabling precise control. This intermediary resolves the contradiction by bridging the gap between accessibility and precision.
Solution Approach 2:
The system dynamically selects the appropriate interface type based on operation complexity and user needs. For complex operations requiring precise control, the system can transition from conversational to spatial or code interfaces, maintaining precision while adapting to user expertise levels.
3Adaptability or versatility
If multiple specialized interfaces are integrated, then functionality for complex operations is improved, but interface complexity deteriorates
Solution Approach 1:
The platform implements a universal interface framework that supports multiple interface types (conversational, spatial, code) within a single unified system. This multi-functional framework allows the system to provide specialized functionality for different operations while maintaining a consistent underlying architecture, resolving the contradiction between versatility and complexity.
Solution Approach 2:
The interface system is segmented into distinct, specialized interface types, each optimized for specific task categories. This segmentation allows each interface type to maintain simplicity for its intended purpose while the overall system achieves versatility through the combination of multiple specialized interfaces.
4Ease of operation
If VR/AR technology is integrated for spatial interfaces, then immersive interaction with digital models is improved, but system resource requirements deteriorates
Solution Approach 1:
The system dynamically adjusts the level of VR/AR immersion based on operational requirements and available resources. For simple operations, the system uses standard 2D interfaces to conserve resources, while transitioning to immersive VR/AR spatial interfaces only when complex operations require enhanced interaction, optimizing the balance between immersive capability and resource consumption.
Data Source
AI summary
Methods and systems enabling multimodal inputs for interacting with a live digital object are provided. The system receives the live digital object which includes a digital artifact extracted from a digital model file through a model representation. The system receives a user's security level and determines the user's access permission and modification permission to access and modify the digital artifact. The system accesses a multimodal interface configured to receive a conversational input and a spatial input, outputs the digital artifact to the multimodal interface based on the access permission, receives from the multimodal interface a conversational input and a spatial input from the user, and generates a modified digital artifact from the digital artifact via the digital model representation, based on the modification permission and on the conversational or spatial input. The multimodal interface may include conventional interfaces (GUIs/APIs), conversational interfaces (text/voice), and spatial computing interfaces (VR/AR/MR/gestural).