Conversation Assistance System Using Body Measurement Detection
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Solution Overview
Problem
Individuals often struggle to recall important information about others during conversations, especially in unexpected or brief interactions, leading to awkwardness and the need for time-consuming internet searches, which can interrupt ongoing conversations.
Innovation Solution
A conversation assistance system that uses mobile devices to capture and analyze conversation information, including body measurements and gestures, to automatically detect when assistance is needed and provide relevant information, such as names or other details, discreetly during interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a person searches the Internet to retrieve information about another person on a portable device, then the person can obtain information about the other person, but the search is time consuming and interrupts the conversation
Solution Approach 1:
The system performs preliminary actions by capturing conversation information (images, audio, text) during the interaction and preparing it for processing. The server proactively retrieves information about the other person before the user needs it, based on the captured conversation data and social network analysis, so that information is ready when the user looks at their device.
Solution Approach 2:
The patent introduces a server as an intermediary between the user and the information sources. The server captures conversation information from the portable device, analyzes it to identify the other person, retrieves relevant information from social networks, and presents it to the user. This intermediary handles the time-consuming search process in the background, freeing the user from having to manually search during the conversation.
2Loss of information
If a person searches the Internet to retrieve information about another person on a portable device, then the person can obtain information about the other person, but the search interrupts the conversation that has already begun
Solution Approach 1:
The system performs preliminary actions by capturing conversation information (images, audio, text) during the interaction and preparing it for processing. The server proactively retrieves information about the other person before the user needs it, based on the captured conversation data and social network analysis, so that information is ready when the user looks at their device.
Solution Approach 2:
The patent introduces a server as an intermediary between the user and the information sources. The server captures conversation information from the portable device, analyzes it to identify the other person, retrieves relevant information from social networks, and presents it to the user. This intermediary handles the time-consuming search process in the background, freeing the user from having to manually search during the conversation.
3Extent of automation
If the system captures and analyzes conversation information including body measurements and gestures, then the system can automatically detect when assistance is needed, but the device complexity increases
Solution Approach 1:
The patent introduces a server as an intermediary between the user and the information sources. The server captures conversation information from the portable device, analyzes it to identify the other person, retrieves relevant information from social networks, and presents it to the user. This intermediary handles the time-consuming search process in the background, freeing the user from having to manually search during the conversation.
Solution Approach 2:
The system employs self-service mechanisms where the portable device automatically captures conversation information without user intervention. The server automatically analyzes this information, identifies when assistance is needed based on pre-defined criteria, and retrieves relevant information. The user simply needs to look at their device to see the presented information, eliminating the need for manual searching or explicit requests for assistance.
Data Source
AI summary
Systems and methods for providing conversation assistance include receiving from at least one user device of a user, conversation information and determining that the conversation information is associated with a conversation involving the user and a first person that is associated with first conversation assistance information in a non-transitory memory. Body measurement data of the user is retrieved from the at least first user device. A need for conversation assistance in the conversation involving the user and the first person is detected using the body measurement data. First conversation assistance information associated with the first person is retrieved from the non-transitory memory. The first conversation assistance information associated with the first person is provided through the at least one user device.


