Generative AI Haptic Guidance for Physical Environment Navigation
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Solution Overview
Problem
Users interacting with physical environments face constraints that limit their ability to explore and engage with large or complex spaces, unlike in digital environments where they can move freely and experience events unconstrained by time or distance.
Innovation Solution
A generative artificial intelligence system that extracts digital features from user interactions in a digital environment, correlates them with physical features using a causation model, and generates haptic feedback to guide users in the physical environment through a decoder stage, allowing for dynamic and constrained movement recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users interact with physical environments directly, then they experience real-world authenticity, but their ability to explore and engage with large or complex spaces is limited by physical constraints
Solution Approach 1:
The patent introduces a digital environment as an intermediary between the user and the physical environment. Sensors capture physical environment data, which is processed into a digital model that the user can interact with freely. This intermediary allows users to overcome physical constraints while maintaining connection to the real world through haptic feedback and augmented reality overlays.
Solution Approach 2:
The system adds a digital dimension to the physical environment, creating a layered experience where virtual elements are superimposed on the physical world. This allows users to access additional information and interaction possibilities without leaving the physical space, effectively expanding the exploration capability through dimensional augmentation.
2Ease of operation
If users move freely in digital environments, then they can access any location instantly, but they lose connection to the physical constraints and realities
Solution Approach 1:
The system implements bidirectional feedback loops where sensors continuously monitor the physical environment and user actions, updating the digital model in real-time. Haptic devices provide tactile feedback that grounds the user's digital interactions in physical reality, ensuring that virtual movements correspond to actual physical states and maintaining reliability of the connection.
Solution Approach 2:
The patent merges the digital and physical environments into a unified augmented reality experience. Rather than separating them into distinct domains, the system combines virtual elements with the physical world, allowing users to benefit from digital freedom while remaining anchored in physical reality through integrated sensor feedback and haptic response.
3Adaptability or versatility
If the physical environment is very large or complex, then it offers rich interaction opportunities, but the user's prior decisions limit future opportunities to interact
Solution Approach 1:
The system performs preliminary analysis of the physical environment using sensors and machine learning algorithms to pre-process and structure interaction data. By anticipating potential user interests and pre-organizing interaction opportunities in the digital model, the system reduces the cognitive burden on users and prevents decision constraints before they arise, allowing seamless navigation of complex environments.
Data Source
AI summary
Creating movement in a physical environment includes extracting, by computer hardware, digital features from interactions of a user with a digital environment that models a physical environment. Physical features are extracted by the computer hardware from sensor data generated from detected interactions of the user with the physical environment. A recommendation is generated by the computer hardware for the user within the physical environment based on a correlation of the digital features with the physical features. The recommendation is provided to the user. Providing the recommendation may include generating haptic signals by decoding, using a decoder stage executed by the computer hardware, the physical features and the recommendation, wherein the haptic signals specify a movement of the user within the physical environment in furtherance of the recommendation.