Information Processing Apparatus Routing Multi-Modal User Input
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Solution Overview
Problem
Current interactive automatic response services based solely on text messages often require multiple conversations to specify the user's inquiry, especially when the user is unsure of terms like names, parts, or symptoms, and may fail to accurately identify the intended item.
Innovation Solution
An information processing apparatus and medium that utilize a reception unit to receive user input in natural language, image, or sound, and a selection unit to determine the appropriate service for analysis, such as natural language processing or image analysis, to efficiently identify and respond to user queries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If text-based interactive automatic response service is used, then implementation complexity is low, but the number of conversations required to specify user inquiries increases and identification accuracy decreases
Solution Approach 1:
The patent combines multiple input modalities (text, image, sound) into a unified interaction system. The reception unit accepts information from users through any of these three channels, and the selection unit integrates them into a single analysis process, reducing the need for multiple sequential conversations to specify inquiries.
Solution Approach 2:
The system is designed to handle diverse user input types through a single interface. The reception unit can process text messages, images, and sounds, making the system universally applicable to various user expression methods without requiring separate specialized systems for each modality.
2Device complexity
If text-based interactive automatic response service is used, then implementation complexity is low, but the accuracy of identifying user inquiries decreases
Solution Approach 1:
The patent merges multiple analysis services (natural language processing, image analysis, sound analysis) into a unified processing architecture. The selection unit determines which analysis service to use based on the input type, and the results are integrated to provide comprehensive and accurate identification of user inquiries.
Solution Approach 2:
The selection unit acts as an intermediary that routes different types of input (text, image, sound) to the appropriate analysis service. This mediator ensures that each input type is processed by the most suitable service, improving overall identification accuracy while maintaining system coherence.
3Measurement precision
If multiple analysis services are integrated, then identification accuracy improves, but device complexity increases
Solution Approach 1:
The system segments the analysis function into separate, specialized services (natural language processing service, image analysis service, sound analysis service). Each service handles a specific input type independently, and the selection unit coordinates them. This segmentation allows for improved accuracy through specialization while maintaining manageable complexity through modular architecture.
Solution Approach 2:
The system dynamically selects which analysis service to activate based on the type of input received from the user. The selection unit determines the appropriate service at runtime, allowing the system to adapt its complexity based on the actual task requirements rather than always running all services simultaneously.
Data Source
AI summary
An information processing apparatus includes a reception unit that receives information from a user in an interactive form and a selection unit that selects a first service for analyzing contents of natural language as a transmission destination of the information in a case where information from the user is input in natural language and selects a second service as an analysis destination of the received information in a case where information from the user is input as an image or a sound.


