Assistant Cluster for Group Action Fulfillment
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Solution Overview
Problem
Existing automated assistants are limited in their ability to facilitate group actions among multiple users, as they typically rely on a single user's device to perform tasks, lacking a mechanism to determine and utilize the suitability of various user devices for group actions effectively.
Innovation Solution
A method is introduced to identify and rank user devices based on their capabilities, proximity, and suitability to perform group actions, forming an assistant cluster to distribute context data and generate query intent determinations, allowing for the selection of the most appropriate device to fulfill group actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single automated assistant on one user device is used to perform group actions, then the system complexity is low, but the adaptability and effectiveness for diverse group needs deteriorate
Solution Approach 1:
Multiple automated assistants from different user devices are merged into a unified assistant cluster that collaboratively performs group actions. The cluster combines capabilities across devices including application availability, account access, and loyalty rewards to provide adaptable service for diverse group needs while maintaining coordinated operation.
Solution Approach 2:
The assistant cluster provides universal service capabilities by aggregating multiple user devices with different strengths. Each device contributes its unique capabilities (different applications, accounts, loyalty programs) to create a multi-functional system that can adapt to various group action requirements beyond what a single device could provide.
2Productivity
If any user device can perform group actions, then the ease of operation is high, but the productivity and effectiveness deteriorate due to lack of optimization
Solution Approach 1:
The assistant cluster autonomously evaluates and ranks user devices based on suitability criteria without requiring manual user intervention. The system automatically determines which device should perform each group action by assessing factors like application availability, account access, and loyalty rewards, thereby maintaining ease of operation while significantly improving productivity through optimized device selection.
Solution Approach 2:
The system implements feedback mechanisms where automated assistants continuously report their device capabilities, application states, and loyalty reward statuses to the cluster coordinator. This feedback enables dynamic ranking and selection of the most suitable device for each group action, optimizing fulfillment efficiency while keeping the process transparent and automatic.
3Reliability
If user device capabilities are not evaluated, then the system complexity is low, but the reliability of group action fulfillment deteriorates
Solution Approach 1:
User device capabilities, application availability, account access status, and loyalty reward information are evaluated and cached in advance before group actions occur. This preliminary evaluation creates a readiness profile for each device, ensuring that when group actions need to be fulfilled, the system can quickly match tasks with suitable devices, thereby improving reliability without adding significant operational complexity.
Data Source
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AI summary
Group actions may be performed on behalf of multiple users based in part on the suitability of the various user devices of the different users to perform such group actions. Different user devices may also be used to generate different query intent determinations for a query such that the query intent determination made by a particular user device may be used to fulfill the query.