Generative AI Response Accuracy via Sensor Data Integration
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Solution Overview
Problem
Existing technologies for conversational services using generative AI do not adequately obtain user information to enhance the accuracy of response messages.
Innovation Solution
An information processing device that includes a display control unit, a receiving unit, an obtaining unit, and a generating unit, which displays a button to obtain sensor detection information from a terminal device, receives user selection, obtains sensor detection information, and generates information to be input to a generative AI for improving response accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor detection information is obtained from the terminal device, then the accuracy of response messages is improved, but the device complexity increases
Solution Approach 1:
The system segments the information processing by separating sensor data acquisition from the generative AI processing. The display control unit independently manages button display and selection reception, while the obtaining unit separately acquires sensor detection information. This segmentation allows the system to integrate multiple information sources without overwhelming the generative AI processing, thereby improving response accuracy while managing device complexity through modular architecture.
Solution Approach 2:
The information processing device integrates multiple functions into a unified system: the display control unit handles both UI rendering and user input reception, the obtaining unit acquires various types of sensor detection information (location, acceleration, gyro, magnetic field, illumination, temperature, pressure, biological data), and the generating unit processes all this diverse information through a single generative AI interface. This multi-functionality improves response accuracy by comprehensively utilizing available data while avoiding the need for separate specialized devices for each function.
2Reliability
If sensor detection information is integrated into input information, then the quality of generated responses is improved, but the information processing complexity increases
Solution Approach 1:
The generating unit merges sensor detection information with user input information into a unified input dataset for the generative AI. This combining process integrates contextual data from sensors (such as location, movement, environmental conditions) with the user's explicit input, creating a more comprehensive understanding of the user's intent and situation. The merging occurs at the information processing level rather than requiring separate processing pipelines, thereby improving response quality while controlling complexity through unified data structures.
Solution Approach 2:
The system performs preliminary action by pre-acquiring sensor detection information before it is needed for response generation. The obtaining unit continuously or proactively collects sensor data (location, acceleration, gyro, magnetic field, illumination, temperature, pressure, biological information) and stores it in readiness. This preliminary acquisition ensures that when the user provides input, the relevant contextual sensor data is already available for immediate integration, improving response quality without adding complexity to the real-time processing flow.
Data Source
AI summary
An information processing device according to the application concerned includes a display control unit, a receiving unit, an obtaining unit, and a generating unit. The display control unit displays, in a terminal device of a user, a button meant for obtaining, from the terminal device, sensor detection information in a service which is based on the dialogue format using a generative AI that outputs answer information corresponding to the input information. The receiving unit receives the selection of the button as made by the user. When the receiving unit receives selection of the button, the obtaining unit obtains the sensor detection information. The generating unit generates information that corresponds to the sensor detection information obtained by the obtaining unit and that is included in the input information to be input to the generative AI.