Dynamic adaptation of a given assistant output based on a given persona assigned to the automated assistant.
By dynamically adapting visual and auditory content based on a persona, the system enhances user interaction with automated assistants, improving visual richness and reducing interaction failures.
JP2026086535APending Publication Date: 2026-05-26GOOGLE LLC
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- GOOGLE LLC
- Filing Date
- 2026-02-03
- Publication Date
- 2026-05-26
AI Technical Summary
Technical Problem
Current automated assistants lack visual richness in their interactions with users, as their visual content is limited and fails to convey the diverse range of expressions humans use during communication.
Method used
The system dynamically adapts the assistant output based on a persona assigned to the automated assistant, incorporating a stream of visual cues and text content that includes animated bodily motion gestures and display animations, synchronized with auditory presentation to enhance user interaction.
Benefits of technology
This approach enriches the visual content of automated assistants, making interactions more empathetic and reducing the need for user repetition and session failures, thus optimizing computational and network resource usage.
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Smart Images
Figure 2026086535000001_ABST
Abstract
It provides dynamic adaptation of a given assistant output based on a given persona assigned to the automated assistant. [Solution] The method generates and then adapts a given assistant output based on a given persona assigned to the automated assistant. The given assistant output is specific to the given persona and is generated without the need to later adapt the given assistant output to the given persona. The given assistant output includes a stream of text content synthesized for audible presentation to the user and a stream of visual cues used to control the client device's display and / or the automated assistant's visual representation. The given assistant output is made to reflect a given persona using a Large-Scale Language Model (LLM) or output previously generated using an LLM.
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