Vehicle Conversation System Using User Interest Evaluation
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Solution Overview
Problem
In ride-sharing scenarios, passengers often find it difficult to initiate conversations due to unfamiliarity with each other, leading to a lack of common topics for discussion.
Innovation Solution
An information processing system that acquires user information, calculates evaluation values for topic candidate keywords, determines relevant keywords, and generates topic information to be provided to users, prioritizing keywords based on user interests, frequency of travel, and duration of travel, to facilitate conversation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If users travel by sharing a vehicle with strangers, then fuel expenses are saved and traffic congestion is relieved, but users find it hard to talk to one another and lack common conversation topics
Solution Approach 1:
The patent introduces an information processing system that acts as an intermediary between passengers. This system automatically acquires user information, calculates evaluation values for topic candidate keywords, determines relevant topic keywords, and provides topic information to facilitate conversation. The intermediary system resolves the contradiction by enabling easy conversation among strangers without requiring users to actively seek common ground themselves.
Solution Approach 2:
The system enables self-service by automatically gathering user information from various sources (social media, browsing history, etc.) and generating personalized topic recommendations without requiring manual input from users. The calculation of evaluation values and automatic determination of topic keywords allows the system to serve itself in creating conversation facilitators, reducing the burden on users while improving conversation ease.
2Adaptability or versatility
If users are encouraged to converse freely, then social interaction is enhanced, but users may feel uncomfortable or awkward due to unfamiliarity
Solution Approach 1:
The system performs preliminary actions by pre-acquiring user information, pre-calculating evaluation values for multiple topic candidate keywords, and pre-determining suitable topic keywords before the conversation begins. This advance preparation ensures that users are provided with appropriate, pre-vetted conversation topics that match their interests, reducing the risk of awkward or uncomfortable interactions while enhancing social interaction.
Solution Approach 2:
The system changes parameters by calculating evaluation values based on multiple factors including user attributes, travel information, and interest matching. By dynamically adjusting the selection of topic keywords based on these calculated parameters, the system optimizes conversation topics to reduce social discomfort while promoting adaptive social interaction among diverse users.
Data Source
AI summary
An information processing apparatus provided with a processor that executes acquiring user information which is information on each of a first users traveling in the same vehicle, calculating evaluation values indicating high interest for the first users about each of a plurality of topic candidate keyword included in user information of each of the first users, determining topic keywords based on the respective evaluation values of the plurality of topic candidate keywords, generating topic information from the topic keywords and providing the topic information to the first users riding in the vehicle.