Intelligent Assistant Conversation Matching via Hashed Segments
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Solution Overview
Problem
Intelligent assistants struggle to collaborate and establish connections with each other during conversations, especially when users are communicating face-to-face or via video conferences, as they require manual intervention and cannot automatically identify and pair with other assistants to perform collaborative tasks.
Innovation Solution
A method where intelligent assistants monitor conversations, convert voice content to text, subdivide and hash the content, and transmit hash values and timestamps to a cloud server for matching and establishing connections with other assistants, allowing them to collaborate without user intervention and ensuring privacy through secure identification codes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If intelligent assistants manually check calendars and send invitations, then scheduling tasks can be completed, but user convenience deteriorates due to requiring manual intervention
Solution Approach 1:
The intelligent assistant automatically monitors conversations, extracts scheduling information, checks calendars, and sends invitations without requiring user intervention. The system serves itself by autonomously performing tasks that were previously manual, thereby improving ease of operation while eliminating time loss.
Solution Approach 2:
The intelligent assistant proactively monitors ongoing conversations to identify scheduling opportunities before users manually initiate the process. By detecting intent in real-time and preparing calendar checks in advance, the system eliminates the need for manual calendar checking and reduces time loss.
2Productivity
If intelligent assistants collaborate automatically during conversations, then productivity improves through real-time coordination, but system complexity increases due to connection establishment requirements
Solution Approach 1:
A cloud-based server acts as an intermediary between intelligent assistants, receiving hashed conversation segments and facilitating matching without requiring direct complex peer-to-peer connections. This mediator simplifies the connection establishment mechanism while enabling real-time collaborative productivity.
Solution Approach 2:
Instead of transmitting actual conversation content, the system uses hashed representations (copies) of conversation segments for matching and connection establishment. This copying approach reduces the complexity of direct content sharing while maintaining the ability to coordinate collaboratively in real-time.
3Measurement precision
If intelligent assistants transmit conversation content for matching, then connection accuracy improves, but information security deteriorates due to potential exposure of private conversations
Solution Approach 1:
The system transmits hashed copies of conversation segments instead of actual content to the cloud server for matching. This copying mechanism maintains measurement precision for accurate connection matching while protecting conversation privacy by never exposing the original information.
Solution Approach 2:
Different parts of the system handle different data forms: local devices process and hash original conversation content, while the cloud server only receives and processes hashed representations. This local quality differentiation ensures matching accuracy at the source while protecting privacy during transmission and cloud processing.
Data Source
AI summary
A computer-implemented method of establishing a conversation between intelligent assistants includes subdividing content of a user's conversation monitored over a predetermined period of time into a plurality of segments, and associating a time stamp with each segment; hashing each of the plurality of segments wherein a hash value is associated with each segment; matching pairs of the hash values and their time stamps with hash values and time stamps received from one or more intelligent assistants associated with the one or more other persons; and establishing a connection between the user's intelligent assistant and an intelligent assistant of at least one of the one or more other persons, when the user's hash value and time stamp for one or more segments of the conversation match hash values and time stamps of one or more conversation segments of the at least one of the one or more other persons.