Digital Human Reinstantiation With Persistent Session Context
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Solution Overview
Problem
Digital humans struggle to maintain user engagement due to reduced physical interactions, making it difficult to assess user interests and adapt responses effectively across different devices.
Innovation Solution
The method involves storing session context information persistently and reinstantiating the digital human on a different device with this stored context, using machine learning algorithms and language models to maintain conversational continuity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If digital human interacts with user across different devices without persistent storage, then device flexibility is improved, but user engagement and conversational continuity deteriorate
Solution Approach 1:
The system performs preliminary action by automatically storing session context information in persistent storage before the user switches devices. This ensures that when the user returns on a different device, the context is already available, eliminating information loss and maintaining conversational continuity across device transfers.
2Reliability
If digital human stores complete session context persistently, then conversational continuity is improved, but system complexity and storage requirements worsen
Solution Approach 1:
The system extracts and stores only the essential session context information (user preferences, conversation state, interaction history) rather than complete system states. This selective extraction maintains conversational continuity while significantly reducing storage requirements and system complexity compared to storing entire session data.
3Productivity
If digital human reinstantiates with stored context on different device, then user engagement is improved, but data transfer and processing time worsen
Solution Approach 1:
The system performs preliminary action by pre-storing session context information in persistent storage during the initial interaction. When device transfer occurs, the reinstantiated digital human quickly retrieves this pre-stored context rather than transferring large amounts of data in real-time, significantly reducing device transfer time while maintaining high user engagement through continuous conversation.
Data Source
AI summary
Techniques are provided for reinstantiating digital humans with stored session context in response to a device transfer. One method comprises obtaining information characterizing a user interacting with a digital human instantiated in a first device; performing the following steps, in response to a request to transfer the digital human to a different device: automatically storing session context information in a persistent session context storage based on the obtained information; and reinstantiating the digital human in the different device with the stored session context information. The session context information may be stored with a session identifier used to reinstantiate the digital human with the stored session context information.


