Multi-User I/O Policy Generation via Pre-computed Profiles
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Solution Overview
Problem
Current digital assistants and user experience features fail to adaptively adjust operations based on user preferences and context, particularly in multi-user scenarios, leading to limited functionality and user experience enhancements.
Innovation Solution
A system and method for generating a modified input/output device policy for multiple users by analyzing datasets from each user and generating a combined policy when users are within a predetermined distance, allowing for adaptive adjustment of digital assistant operations to suit individual and shared preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a digital assistant is configured to manage device operation based on voice commands, then basic control functionality is provided, but the system fails to adaptively adjust operations based on user preferences and context
Solution Approach 1:
The system pre-generates multiple policies for different users before needing to make decisions. Each policy encapsulates a user's preferences and contextual requirements, allowing the digital assistant to quickly select and apply the appropriate policy without complex real-time analysis, thus achieving adaptability while managing complexity
Solution Approach 2:
The system changes the parameter of policy selection based on detected user presence and identity. By detecting which user is present and retrieving their corresponding pre-generated policy, the system adapts its behavior to match user preferences without requiring complex runtime decision-making logic
2Adaptability or versatility
If a music-player system is configured to respond to only one user, then control accuracy for that user is maintained, but the system fails to support multiple users in the same environment
Solution Approach 1:
The system introduces an intermediary policy layer that sits between user identification and device control. Multiple user-specific policies are generated in advance, and the system selects the appropriate policy based on detected user presence. This intermediary mechanism enables smooth transitions between single-user precision and multi-user adaptability without compromising control accuracy
3Ease of operation
If a system generates separate policies for each user, then personalized control is achieved, but computational overhead increases when multiple users are present
Solution Approach 1:
The system performs the computationally intensive policy generation process in advance, before users are present and before decisions need to be made. By pre-generating policies for each user and storing them, the system eliminates the need for complex real-time computation during user interactions, significantly reducing energy consumption while maintaining personalized control
Solution Approach 2:
Instead of generating new policies in real-time, the system creates copies of pre-generated user policies and selects the appropriate copy based on detected user presence. This copying approach avoids redundant computational work while delivering personalized control experiences to each user
Data Source
AI summary
A system and method for generating a modified input/output (I/O) device policy for multiple users. A method includes generating a modified policy based on a first policy and a second policy, wherein the modified policy is generated when a first user and a second user are located within a predetermined distance of each other, wherein the first policy is generated for the first user based on a first dataset including data related to the first user with respect to at least one I/O device, wherein the second policy is generated for the second user based on data related to the at least one I/O device; and executing at least one plan based on the modified policy, wherein executing the at least one plan further comprises causing the at least one I/O device to output a signal for causing at least one action by an external system.