Assistant Service Utterance List Generation
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Solution Overview
Problem
Conventional electronic devices providing assistant services require predefined user inputs, limiting their ability to accurately reflect user intentions and needs, especially when users are unaware of these inputs.
Innovation Solution
An electronic device determines content identification information and user context to generate an utterance list, which is output in response to predefined events, allowing for intuitive interaction without explicit user input, using machine learning algorithms and pre-trained models to adapt to user preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional assistant services require predefined user input, then the service can be triggered, but the user intention and needs are not well reflected
Solution Approach 1:
The system performs preliminary actions by determining content identification information and user context before the user provides input. The assistant service proactively generates utterance lists based on pre-analyzed content and user state, allowing the service to anticipate user needs rather than waiting for explicit commands.
Solution Approach 2:
The assistant service performs self-service by autonomously determining content information and user context without requiring user initiation. The system self-updates its understanding of user needs and content state, generating appropriate responses automatically based on its own analysis rather than waiting for user direction.
2Ease of operation
If the electronic device provides assistant services only with predefined user input, then the service structure is simple, but the convenience and satisfaction for the user are limited
Solution Approach 1:
The system performs preliminary determination of content identification information and user context before service activation. This pre-processing enables the assistant to provide more personalized and convenient services by anticipating user needs based on previously analyzed content and user state.
Solution Approach 2:
The system incorporates feedback mechanisms where the determined user context and content identification information continuously update the assistant's understanding. This feedback loop allows the service to adapt to changing user needs and content state, improving convenience while managing complexity through intelligent adaptation.
Data Source
AI summary
A method of providing an assistant service, performed by an electronic device, includes: determining content identification information for identifying content displayed on the electronic device; determining a user context for identifying a use situation of a user of the electronic device by using the determined content identification information; generating an utterance list based on the determined content identification information and the determined user context; and, in response to an occurrence of a predefined utterance providing event, outputting the generated utterance list.