Voice Input Field Routing by Utterance Semantics
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Solution Overview
Problem
Conventional voice input systems often fail to accurately direct data to the intended input field, leading to inefficiencies in data movement between multiple input fields.
Innovation Solution
An information processing apparatus and method that semantically analyzes user utterances to determine the appropriate input field and automatically moves data to the correct field based on the utterance content and field attributes, using a first input unit to select the initial field and a second input unit to transfer data to the intended field upon user operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If voice input is performed to a plurality of input fields using conventional methods, then data input functionality is provided, but data is not input to the intended input field in some cases
Solution Approach 1:
The patent segments the data input process into two distinct phases: initial automatic input to a first input field, and subsequent conditional movement to a second input field. This segmentation allows the system to handle different input scenarios separately, improving both reliability in initial placement and ease of operation in redistribution.
Solution Approach 2:
The system performs preliminary automatic input of data to an appropriate input field based on utterance analysis before the user needs to manually move it. This preliminary action reduces the burden on users while maintaining the option to reposition data if needed, thus improving both reliability and ease of operation.
2Productivity
If automatic voice input is implemented, then input efficiency is improved, but data may be directed to the wrong input field
Solution Approach 1:
The system incorporates feedback mechanisms where user operations (such as selecting or moving data) are monitored and used to adjust subsequent input behavior. This feedback loop allows the system to learn from user corrections and improve both the efficiency and accuracy of automatic input over time.
Solution Approach 2:
The system changes parameters such as the selected input field and data attributes based on utterance analysis results. By dynamically adjusting these parameters according to the analyzed meaning and context, the system maintains high input efficiency while improving field selection accuracy.
3Reliability
If manual data movement is required to correct field placement, then accuracy can be improved, but operability and user effort increase
Solution Approach 1:
The system provides self-service functionality where data can be automatically moved between input fields based on user preferences or system analysis without requiring manual intervention. This self-service capability maintains high accuracy while minimizing user effort, as the system handles the movement automatically.
Solution Approach 2:
The system makes the data movement process dynamic and adaptable, allowing automatic movement when appropriate and manual movement when needed. This dynamic approach adjusts the level of automation based on the specific context, improving both accuracy and ease of operation by reducing unnecessary user effort.
Data Source
AI summary
provided is an information processing apparatus includes a first input unit configured to input that inputs first data obtained by capture of a speaker's voice to a first input field selected from a plurality of input fields based on a meaning of content of utterance indicated by the first data, and attributes of the plurality of input fields. The information processing apparatus further includes second input unit that inputs second data belonging to an attribute of a second input field in the first data, to a second input field, in response to an operation of moving the first data from the first input field to the second input field.