Scene-Adaptive Virtual Robot Images for Richer User Interaction
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Solution Overview
Problem
Current virtual robots lack emotional resonance with users, leading to low utilization and poor human-machine interaction experience.
Innovation Solution
Generate a virtual robot image on an electronic device based on scene information, including time attributes, application types, and natural environments, and adapt the image to user interactions, using a pre-stored mapping relationship to enrich the virtual robot's appearance and behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a virtual robot uses a single static image to interact with users, then the device complexity is low, but the emotional resonance capability and user experience are poor
Solution Approach 1:
The virtual robot image is segmented into multiple independent elements (head, body, limbs, accessories) that can be individually selected and combined. This allows the system to generate diverse emotional expressions by recombining these segments without requiring a completely new image for each emotion, thus improving adaptability while controlling complexity.
Solution Approach 2:
The virtual robot image transitions from a static single image to a dynamic composite image that can change based on scene information. The system dynamically selects and merges different image elements according to time attributes, application types, and natural environment data, enabling emotional resonance while maintaining manageable system complexity through modular design.
2Adaptability or versatility
If a virtual robot presents a single fixed image, then the system is simple to operate, but the human-machine interaction experience is poor
Solution Approach 1:
The virtual robot image presentation system operates autonomously by automatically selecting and merging appropriate image elements based on scene information from sensors and system data. The system self-adjusts the virtual robot's appearance without requiring manual intervention, maintaining ease of operation while significantly improving interaction adaptability to different contexts and user emotions.
3Adaptability or versatility
If a virtual robot uses multiple images for different scenarios, then the user experience improves, but the device complexity increases
Solution Approach 1:
The system merges multiple individual image elements into a unified composite virtual robot image based on scene information. Rather than managing separate complete images for each scenario, the system combines relevant elements (e.g., happy face + standing body + outdoor accessories) into a single contextualized image, reducing image management complexity while maintaining high scene adaptation capability.
Solution Approach 2:
The virtual robot image elements are designed to be universal and reusable across multiple scenarios. A single set of image elements can be combined in various ways to represent different emotions, activities, and environments, eliminating the need for separate complete images for each scenario and reducing overall system complexity while maintaining versatility.
Data Source
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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 run 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.