Personalized Sensory Feedback in Extended Reality
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Solution Overview
Problem
Existing VR, AR, and MR systems fail to provide personalized sensory feedback tailored to individual user preferences and sensitivities, leading to inconsistent user experiences due to one-size-fits-all approaches.
Innovation Solution
A computer-implemented method that uses AI models trained through machine learning to dynamically adjust sensory feedback levels based on user-specific parameters, leveraging multi-agent reinforcement learning and user feedback analysis to optimize sensory delivery in various contextual situations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If one-size-fits-all sensory feedback approach is used, then system complexity is reduced, but user experience consistency deteriorates
Solution Approach 1:
The system dynamically changes sensory feedback parameters (intensity, type, timing) based on user-specific data including sensory sensitivities, preferences, and real-time contextual information. This allows the same feedback system to adapt to different users and situations without requiring multiple separate systems, resolving the contradiction between system complexity and experience consistency.
Solution Approach 2:
The sensory feedback system transitions from static, pre-configured settings to dynamic, real-time adjustment based on user responses and contextual factors. The system continuously monitors user reactions and modifies feedback delivery accordingly, enabling consistent personalized experiences while maintaining a unified system architecture.
2Reliability
If personalized sensory feedback parameters are maintained for each user, then user experience quality is improved, but system complexity increases
Solution Approach 1:
The system incorporates automated mechanisms that collect user feedback data, analyze responses, and adjust sensory parameters without requiring manual configuration for each user. Machine learning models automatically process user interactions and contextual information to generate personalized feedback profiles, reducing the operational complexity burden while maintaining high experience quality.
Solution Approach 2:
A single unified feedback control system performs multiple functions: collecting user data, analyzing preferences, determining contextual factors, and adjusting sensory output. This multi-functional approach consolidates what could be separate complex systems into one integrated solution that serves all users with personalized parameters.
3Reliability
If sensory feedback levels are increased for all users, then immersion experience is improved, but sensory overload risk increases
Solution Approach 1:
The system applies different sensory feedback intensity levels to different users based on their individual sensitivities and preferences, rather than using a uniform high-intensity approach for all. Each user receives locally optimized feedback quality that maximizes immersion while staying within their personal tolerance thresholds, preventing sensory overload.
Solution Approach 2:
The system continuously monitors user responses to sensory feedback and uses this information to adjust future feedback delivery. When users show signs of sensory overload or disengagement, the system automatically reduces intensity or modifies the type of feedback provided, creating a self-regulating mechanism that maintains immersion while preventing harmful overstimulation.
Data Source
AI summary
Personalizing sensory feedback based on user sensitivity analysis includes maintaining user-specific parameters for provision of sensory feedback to a user in extended reality. The user-specific parameters apply to specific contextual situations and dictate levels of sensory feedback to provide via stimulus device(s) in the specific contextual situations. Based on an ascertained contextual situation of the user interacting in a target extended reality environment, a set of sensory feedback level parameters is selected for provision of sensory feedback to the user in the target extended reality environment, and stimulus device(s) in the target extended reality environment is/are automatically controlled in the provision of the sensory feedback to the user based on one or more of the selected parameters. The automatically controlling includes electronically communicating with the stimulus device(s) to control at least one stimuli provided to the user by the stimulus device(s).