Scene-Aware Virtual Robot Images for Adaptive User Interaction

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Solution Overview

Problem

Current human-machine interaction systems with virtual robots lack emotional resonance with users, leading to low utilization and poor user experience.

Innovation Solution

A method and apparatus that generate and present virtual robot images based on scene information, including time attributes, application types, and natural environments, allowing for dynamic and personalized virtual robot images that adapt to user interactions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If a virtual robot uses a single fixed image, then the device complexity is low, but the user experience and emotional resonance are poor

Engineering Contradiction:
Improvevirtual robot image adaptabilityVSAvoidimage generation system complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent applies dynamics by transforming the static virtual robot image into a dynamic one that changes based on scene information. The system dynamically selects and generates appropriate images according to time attributes, application types, and natural environment conditions, making the virtual robot adaptable to different contexts while maintaining manageable system complexity through rule-based selection

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent implements parameter changes by modifying the virtual robot image parameters based on scene information parameters. The system changes image attributes such as expression, posture, and appearance according to variations in time, application context, and environmental conditions, enabling adaptive behavior without requiring complete system redesign

Inventive Principle:
Principle #35Parameter changes

2Ease of operation

If a virtual robot presents multiple personalized images, then user experience improves, but the system complexity increases

Engineering Contradiction:
Improveuser interaction qualityVSAvoidimage management complexity
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The patent applies segmentation by dividing the image selection process into distinct segments based on different scene information dimensions: time attributes, application types, and natural environment. Each segment handles specific image selection criteria independently, making the overall system more manageable while providing comprehensive personalized image presentation

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent implements preliminary action by pre-establishing mapping relationships between scene information and virtual robot images. The system prepares image selection rules and mappings in advance, allowing rapid image retrieval and presentation during actual interactions without requiring complex real-time decision-making processes

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS12358155B2Virtual robot image presentation method and apparatus
Publication Date: 2025.07.15 HUAWEI TECH CO LTD
  • US12358155B2 patent drawing
  • US12358155B2 patent drawing
  • US12358155B2 patent drawing

AI summary

A virtual robot image presentation method and an apparatus are provided to improve virtual robot utilization and user experience. In this method, an electronic device generates a first virtual robot image, and presents the first virtual robot image. The first virtual robot image is determined by the electronic device based on scene information. The scene information includes at least one piece of information in first information and second information, the first information is used to represent a current time attribute, and the second information is used to represent a type of an application currently running in the electronic device. According to the foregoing method, in a human-machine interaction process, virtual robot images can be richer and more vivid, so that user experience can be better, thereby improving virtual robot utilization of a user.