Interaction Management Device for Reducing Repetitive Speech Input
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Solution Overview
Problem
Existing interaction management devices require users to provide speech input for all items, even if some data is fixed or routine, reducing user convenience by necessitating repetitive input for retrieval results.
Innovation Solution
An interaction management device that identifies service frames and fills in data based on user speech content, estimates missing data from past action history, and confirms with the user to fill in blank items, thereby reducing repetitive input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the information processing device requires the user to provide speech input for all items to ensure complete data retrieval, then the data completeness is improved, but the user convenience deteriorates due to repetitive input
Solution Approach 1:
The system performs preliminary actions by automatically filling in blank items with estimated data derived from the user's past action history before final retrieval execution. This allows the system to proactively complete data gaps without requiring the user to manually input every field, thus maintaining data completeness while reducing repetitive user input.
Solution Approach 2:
The system serves itself by automatically estimating and filling in missing data fields using the user's own historical behavior patterns. The estimation unit analyzes past actions to generate probable values for blank items, and the determination unit autonomously decides whether to apply these estimates, enabling the system to self-complete data without continuous user intervention.
2Ease of operation
If the system automatically estimates blank items based on past action history to reduce user input, then the user convenience is improved, but the risk of incorrect data filling deteriorates
Solution Approach 1:
The system implements feedback by presenting the estimated data to the user for confirmation before finalizing the filling. The inquiry unit asks the user to verify whether the estimated blank item data is correct, allowing the user to accept or reject the automatic suggestions. This feedback loop ensures that automated estimation does not compromise data accuracy, as the user retains final control over the filled values.
3Reliability
If the system requests the user to enter speech information for all blank items to ensure accurate data, then the data accuracy is improved, but the time consumption increases
Solution Approach 1:
The system applies partial action by selectively estimating only the blank items that can be reasonably inferred from past action history, rather than requiring the user to input all blank items. The determination unit judges which estimated data should be filled based on confidence levels and contextual relevance, performing just enough automatic filling to reduce time consumption while maintaining sufficient data accuracy for retrieval operations.
Data Source
AI summary
An interaction management device fills items with data based on user's speech content. The interaction management device includes a control unit. The control unit is configured to estimate data with which to fill in a blank item that is not yet filled in with data based on a past action history of the user when there is the blank item, inquire of the user whether the data with which to fill in the blank item is the estimated data, and determine that the estimated data is data with which to fill in the blank item if a response indicating that the estimated data is correct is received from the user.