Identity-Based Voice Assistant Selection for Personalized Interaction
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Solution Overview
Problem
Existing voice interaction assistants rely on fixed programs and modes, limiting their ability to provide personalized and adaptive interactions with users, resulting in a poor user experience.
Innovation Solution
A human-computer interaction method and apparatus that selects and adapts interaction assistants based on user identity information, including account and biometric data, to provide personalized interaction styles and emotions, allowing for real-time adjustments to improve user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed program and mode are used for voice interaction, then the system structure is simple and reliable, but the adaptability to different users and scenarios is poor
Solution Approach 1:
The patent implements dynamic assistant selection by switching between different interaction assistants based on user identity information. The system dynamically determines which assistant to activate according to the current user's characteristics, making the system adaptable without requiring complete reconfiguration. This resolves the contradiction by introducing dynamic switching capability while maintaining the underlying fixed program structure of each individual assistant.
Solution Approach 2:
The patent changes the parameter of assistant selection based on user identity parameters such as account information and biometric data. By varying which assistant is activated according to user-specific parameters, the system achieves adaptability to different users while each assistant maintains its own fixed program structure, thus managing system complexity.
2Adaptability or versatility
If multiple interaction assistants are provided for different users, then the personalized interaction experience is improved, but the device complexity increases
Solution Approach 1:
The patent creates a universal interaction system that serves multiple users through a single framework. The main system performs the multi-functional role of selecting and managing multiple assistants, while each assistant maintains its specialized function. This universal structure allows personalization for different users without requiring each user to have a completely separate system, thus controlling overall device complexity.
Solution Approach 2:
The patent segments the interaction system into multiple independent assistants, each handling specific user interactions. By dividing the overall interaction function into separate modular assistants and using a selection mechanism to activate the appropriate one based on user identity, the system achieves personalization while keeping each segment relatively simple and manageable.
3Ease of operation
If identity information is collected and analyzed to select interaction assistants, then the user experience is personalized, but the information processing complexity increases
Solution Approach 1:
The patent performs preliminary analysis of user identity information to pre-determine which interaction assistant should be activated. By processing the identity information in advance and making the selection decision before actual interaction begins, the system personalizes the user experience without adding complexity during the interaction process itself. The complex information processing is done upfront, allowing smoother subsequent operations.
Data Source
AI summary
Embodiments of this application provide a human-computer interaction method and apparatus, and a terminal device. The method includes: obtaining identity information of a first user; selecting, from a plurality of interaction assistants based on the identity information of the first user, a first interaction assistant used to respond to an interaction command of the first user; and interacting with the first user by using the first interaction assistant. According to the foregoing method, embodiments of this application can meet a personalized requirement of the user for human-computer interaction, and improve human-computer interaction experience of the user.